We will be using the new energy layer to analyze a variety of PV module futures.
We will use a literture-sourced global scale deployment schedule through 2050, then assume that capacity increases at a lower constant rate through 2100.
Module specific module and material input files are stored in the baselines\Energy_CellModuleTechCompare folder.
import numpy as np
import pandas as pd
import os,sys
from pathlib import Path
import matplotlib.pyplot as plt
import PV_ICE
cwd = os.getcwd() #grabs current working directory
testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'EnergyAnalysis')
inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP')
baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines')
supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial')
altBaselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'Energy_CellModuleTechCompare')
if not os.path.exists(testfolder):
os.makedirs(testfolder)
from platform import python_version
print(python_version())
3.11.5
#print("Working on a ", platform.system(), platform.release())
print("Python version ", sys.version)
print("Pandas version ", pd.__version__)
print("pyplot ", plt.matplotlib.__version__)
print("PV_ICe version ", PV_ICE.__version__)
Python version 3.11.5 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:26:23) [MSC v.1916 64 bit (AMD64)] Pandas version 2.0.3 pyplot 3.7.2 PV_ICe version
Graphing settings
#https://www.learnui.design/tools/data-color-picker.html#palette
#color pallette - modify here for all graphs below
colorpalette=['#000000', #PV ICE baseline
'#595959', '#7F7F7F', '#A6A6A6', '#D9D9D9', #BAU, 4 grays, perc, shj, topcon, irena
#'#067872','#0aa39e','#09d0cd','#00ffff', #realistic cases (4) teals, perc, shj, topcon, irena
'#0579C1','#C00000','#FFC000', #extreme cases (3) long life, high eff, circular
'#6E30A0','#00B3B5','#10C483', #ambitious modules (5) high eff+ long life, 50 yr perc, recycleSi,
'#97CB3F','#FF7E00' #circular perovskite+life, circular perovkiste+ high eff
]
colormats = ['#00bfbf','#ff7f0e','#1f77be','#2ca02c','#d62728','#9467BD','#8C564B'] #colors for material plots
import matplotlib as mpl #import matplotlib
from cycler import cycler #import cycler
mpl.rcParams['axes.prop_cycle'] = cycler(color=colorpalette) #reset the default color palette of mpl
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
plt.rcParams.update({'font.size': 14})
plt.rcParams['figure.figsize'] = (8, 6)
scennames_labels = ['PV_ICE','PERC','SHJ','TOPCon','Low\nQuality',
'Long-Lived','High Eff','Circular',
'High Eff\n+ Long-life','Long-Life\n+ Recycling',
'Recycled-Si\n+ Long-life','Circular\n+ Long-life',
'Circular\n+ High Eff'
]
scennames_labels_flat = ['PV_ICE','PERC','SHJ','TOPCon','Low Quality',
'Long-Lived','High Eff','Circular',
'High Eff + Long-life','Long-Life + Recycling',
'Recycled-Si + Long-life','Circular + Long-life',
'Circular + High Eff'
]
#,'Lightweight'
Scenarios and materials
MATERIALS = ['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']
moduleFile_m = os.path.join(baselinesfolder, 'baseline_modules_mass_US.csv')
moduleFile_e = os.path.join(baselinesfolder, 'baseline_modules_energy.csv')
We will be deploying based on power (not area) because each of these have different efficiencies, and those differences should be accounted for in the simulation. Additionally, we will run the installation compensation to simulate the required replacements for each module type.
#load in a baseline and materials for modification
sim1 = PV_ICE.Simulation(name='sim1', path=testfolder)
sim1.createScenario(name='PV_ICE', massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['PV_ICE'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
path = C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\TEMP\EnergyAnalysis Baseline folder directed to default: C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\baselines
Starting modifications in 2022, using PV ICE baseline as historical for all modules
NOTE: Currently have to modify all scenarios before extending the years to avoid errors.
NOTE: all dynamic values changed with PV ICE modify functions must feed in a Pandas Series
celltech_modeff = pd.read_csv(os.path.join(supportMatfolder, 'output-celltech-modeffimprovements.csv'),index_col=0) #pull in module eff
celltech_aguse = pd.read_csv(os.path.join(supportMatfolder, 'output-celltech-Agusageimprovements.csv'),index_col=0) #pull in Ag use
celltech_modeff.loc[2030]
PERC 24.5 SHJ 25.3 TOPCon 25.0 Name: 2030, dtype: float64
#glass-glass package mass per area calculation
#ITRPV 2022 Figs 36 and 38, we are assuming that the front and back glass heave equal thickness of 2.5mm
density_glass = 2500*1000 # g/m^3
glassperm2 = (2.5/1000)* 2 * density_glass
print('The mass per module area of glass is '+str(glassperm2)+' g/m^2 for all modules with a glass-glass package')
The mass per module area of glass is 12500.0 g/m^2 for all modules with a glass-glass package
timeshift = 2022-1995
idx_temp = pd.RangeIndex(start=2000,stop=2051,step=1)
Commercialized Modules with Expected Continued Improvement
For all these modules, we assume improving recycling slightly behind the EU WEEE Directive:
#modified module
moduleinput_m_r_PERC = os.path.join(altBaselinesfolder, 'mod_r_PERC.csv')
sim1.createScenario(name='r_PERC', massmodulefile=moduleinput_m_r_PERC, energymodulefile=moduleFile_e)
#module efficiency modify for PERC
sim1.modifyScenario('r_PERC', 'mod_eff', celltech_modeff.loc[2022:,'PERC'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_PERC'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_PERC'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_PERC'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_PERC'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_PERC'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for PERC
sim1.scenario['r_PERC'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'PERC'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_PERC'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_PERC'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
This is a modern SHJ module with expected silver and module efficiency improvements taken from Zhang et al 2021, Gervais et al 2021, and ITPRV 2022. See PERC vs SHJ vs TOPCon for a more detailed evaluation.
#modified module
moduleinput_m_r_SHJ = os.path.join(altBaselinesfolder, 'mod_r_SHJ.csv')
sim1.createScenario(name='r_SHJ', massmodulefile=moduleinput_m_r_SHJ, energymodulefile=moduleFile_e)
#module efficiency modify for SHJ
sim1.modifyScenario('r_SHJ', 'mod_eff', celltech_modeff.loc[2022:,'SHJ'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#load modified materials
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_SHJ'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_SHJ'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_SHJ'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_SHJ'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_SHJ'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for SHJ
sim1.scenario['r_SHJ'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'SHJ'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_SHJ'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_SHJ'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#modified module
moduleinput_m_r_TOPCon = os.path.join(altBaselinesfolder, 'mod_r_TOPCon.csv')
sim1.createScenario(name='r_TOPCon', massmodulefile=moduleinput_m_r_TOPCon, energymodulefile=moduleFile_e)
#module efficiency modify
sim1.modifyScenario('r_TOPCon', 'mod_eff', celltech_modeff.loc[2022:,'TOPCon'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_TOPCon'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_TOPCon'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_TOPCon'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_TOPCon'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_TOPCon'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for PERC
sim1.scenario['r_TOPCon'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'TOPCon'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_TOPCon'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_TOPCon'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
This scenario uses the IRENA 2016 regular loss scenario results, or a low quality module, and assumes the same EoL recycling improvement as the previous three scenarios. We're assuming this is a mc-Si, therefore, changing the ingot energy to reflect the lower energy intensity.
#modified module
moduleinput_m_r_IRENA = os.path.join(altBaselinesfolder, 'mod_r_IRENAregloss.csv')
sim1.createScenario(name='r_IRENA', massmodulefile=moduleinput_m_r_IRENA, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_IRENA'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_IRENA'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_IRENA'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_IRENA'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_IRENA'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silicon mfging energy to be mc-Si only
altmfgSi_mcSi = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_MFG_mcSi.csv'), index_col=0)
#modify silicon recycling energy
sim1.scenario['r_IRENA'].modifyMaterialEnergy('silicon', 'e_mat_MFG',
altmfgSi_mcSi.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['r_IRENA'].modifyMaterialEnergy('silicon', 'e_mat_MFG_fuelfraction',
altmfgSi_mcSi.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
sim1.scenario['r_IRENA'].material['silicon'].matdataIn_e.iloc[25:30,]
| year | e_mat_extraction | e_mat_MFG | e_mat_MFG_fuelfraction | e_mat_MFGScrap_LQ | e_mat_MFGScrap_HQ | e_mat_Landfill | e_mat_Landfill_fuelfraction | e_mat_EoL_ReMFG_clean | e_mat_Recycled_LQ | e_mat_Recycled_HQ | e_mat_Recycled_HQ_fuelfraction | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 2020 | 0.0062 | 169.060000 | 22.000000 | 1.6 | 138.38 | 0.09 | 0 | 0.4 | 1.6 | 138.38 | 20 |
| 26 | 2021 | 0.0062 | 170.730000 | 21.000000 | 1.6 | 143.04 | 0.09 | 0 | 0.4 | 1.6 | 143.04 | 19 |
| 27 | 2022 | 0.0062 | 144.532276 | 0.236169 | 1.6 | 144.33 | 0.09 | 0 | 0.4 | 1.6 | 144.33 | 19 |
| 28 | 2023 | 0.0062 | 144.418207 | 0.236356 | 1.6 | 144.20 | 0.09 | 0 | 0.4 | 1.6 | 144.20 | 19 |
| 29 | 2024 | 0.0062 | 144.304139 | 0.236542 | 1.6 | 144.60 | 0.09 | 0 | 0.4 | 1.6 | 144.60 | 19 |
What if you could have 1/3 design aspects perfectly optimized right now, but at the expense of the other two?
#names for extreme set of scenarios
scennames_ex = ['ex_Life', 'ex_High_eff', 'ex_Circular'] #extreme boundaries
for scen in scennames_ex: #creates extreme scenarios
sim1.createScenario(name=scen, massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario[scen].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
This module represents current PERC technology if it were to have it's lifetime extended significantly. Glass-glass technology is assumed, expected decreases in silver usage and increases in module efficiency are derived from Zhang et al 2021, Gervais et al 2021 and ITRPV 2022. Merchant tail is set to 100%, while material circularity is set to 0 after 2022.
#module efficiency modify for PERC
#evolves at the same rate as the baseline comparison
sim1.modifyScenario('ex_Life', 'mod_eff', celltech_modeff.loc[2022:,'PERC'], start_year=2022) #PERC 2030 module eff
#silver modify for PERC
sim1.scenario['ex_Life'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'PERC'], start_year=2022)
#old way
#sim1.scenario['PERC_50'].material['silver'].matdataIn_m.loc[timeshift:,'mat_massperm2'] = celltech_aguse.loc[2022:,'PERC'].values
#modify package to glass glass
sim1.scenario['ex_Life'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022) #
sim1.scenario['ex_Life'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Lifetime and Degradation
#degradation rate from Theristis et al 2022
#failure is T10 at 50 years
#degradation rate:
sim1.modifyScenario('ex_Life', 'mod_degradation', 0.4, start_year=2022) #annual power degradation to reach 80% at 55 yrs
#T50
sim1.modifyScenario('ex_Life', 'mod_reliability_t50', 56.07, start_year=2022)
#t90
sim1.modifyScenario('ex_Life', 'mod_reliability_t90', 59.15, start_year=2022)
#Mod Project Lifetime
sim1.modifyScenario('ex_Life', 'mod_lifetime', 50, start_year=2022) #project lifetime of 50 years
#Merchant Tail set high
sim1.modifyScenario('ex_Life', 'mod_MerchantTail', 100, start_year=2022) #all installations stay for merchant tail
#Set to no material circularity after 2022
sim1.modifyScenario('ex_Life', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['ex_Life'].material:
sim1.scenario['ex_Life'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
This represents a current 25 year lifetime module warranty where efficiency has been prioritized. This could represent a silicon based tandem, along the lines of a heterojunction, multijunction or tandem structure. This will also be assumed to be bifacial at 0.92, the highest projection from ITRPV 2023.
sim1.modifyScenario('ex_High_eff', 'mod_eff', 30.0, start_year=2022) #changing module eff
#Lifetime and Degradation
#degradation rate:
sim1.modifyScenario('ex_High_eff', 'mod_degradation', 0.75, start_year=2022) #standard current degrdation
#T50
sim1.modifyScenario('ex_High_eff', 'mod_reliability_t50', 30.7, start_year=2022)
#t90
sim1.modifyScenario('ex_High_eff', 'mod_reliability_t90', 35, start_year=2022)
#Mod Project Lifetime
sim1.modifyScenario('ex_High_eff', 'mod_lifetime', 25, start_year=2022) #project lifetime of 25 years
#modify package to glass glass
sim1.scenario['ex_High_eff'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['ex_High_eff'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Set to no material circularity after 2022
sim1.modifyScenario('ex_High_eff', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['ex_High_eff'].material:
sim1.scenario['ex_High_eff'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
There are currently no circular modules, so this extreme case is based on hypothetical perovskite Si tandems modules. This module uses current best perovskite si tandem module and cell efficiencies, has a prospective life of 15 years and 1.47% degradation rate, and is highly circular. This is the extreme module proposed by perovskite tandems [Jean et al. 2019]. This maximizes material circularity, through remanufacturing glass and silicon wafers, and recycling the al frames closed loop.
#2022 module eff = 17.9% #https://www.nrel.gov/pv/assets/pdfs/champion-module-efficiencies-rev220401b.pdf
#2050 module eff = 19.1-26.1% for cheap on mc-Si, 21-27.3% for high eff on SHJ, Sofia et al 2019
idx_perovskite_eff = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_perovskite_eff = pd.DataFrame(index=idx_perovskite_eff, columns=['mod_eff_p'], dtype=float)
df_perovskite_eff.loc[2022] = 17.9 #current champion mini module
df_perovskite_eff.loc[2030] = 19.1 #using the low efficiency, cheap and circular plan
df_perovskite_eff.loc[2050] = 19.1
df_perovskite_eff.interpolate(inplace=True)
#module efficiency modify for PERC
sim1.modifyScenario('ex_Circular', 'mod_eff', df_perovskite_eff.loc[2022:,'mod_eff_p'], start_year=2022)
#modify package to glass glass
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['ex_Circular'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Lifetime and Degradation
#values taken from lifetime vs recycling paper
#degradation rate:
sim1.modifyScenario('ex_Circular', 'mod_degradation', 1.47, start_year=2022) #annual power degradation
#Mod Project Lifetime
sim1.modifyScenario('ex_Circular', 'mod_lifetime', 15, start_year=2022) #project lifetime of 15 years
#T50
sim1.modifyScenario('ex_Circular', 'mod_reliability_t50', 20.49, start_year=2022)
#t90
sim1.modifyScenario('ex_Circular', 'mod_reliability_t90', 25, start_year=2022)
#remfg glass, remfg si, recycle Al, near perfect levels
#100% collection rate
sim1.modifyScenario('ex_Circular', 'mod_EOL_collection_eff', 100.0, start_year=2022) #100% collection
# remanufacturing
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg3_reMFG', 100.0, start_year=2022) #all modules attempt remfg
sim1.modifyScenario('ex_Circular', 'mod_EOL_sp_reMFG_recycle', 100.0, start_year=2022) # recycle if can't remfg
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb3_reMFG', 100.0, start_year=2022) # remfg bad mods too
sim1.modifyScenario('ex_Circular', 'mod_EOL_reMFG_yield', 98.0, start_year=2022) # REMFG YIELD 98%
#set all other paths to 0
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg0_resell', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg1_landfill', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg2_stored', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg4_recycled', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb1_landfill', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb2_stored', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb4_recycled', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_Repair', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_MerchantTail', 0.0, start_year=2022) #
#Material Remanufacture
#Glass
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_PG3_ReMFG_target', 100.0, start_year=2022) #send all to remfg
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #any breakage gets recycled
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_ReMFG_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_Recycling_yield', 98.0, start_year=2022) #98% yeild
#silicon ReMFG
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 100.0, start_year=2022) #send to remfg
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_ReMFG_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #remfg breakage gets recycled
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#aluminium_frames recycle
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_ReMFG_yield', 0.0, start_year=2022) #0% yeild
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
"What if we could have 2/3 design aspects improved?" These are modules which have a basis in laboratory or field but have not yet been fully/completely demonstrated or commercialized. They are the mix and match of the extreme design aspects. Typically one of the two design aspects is emphasized more heavily.
What if we made long lived tandem modules?
#modified module
moduleinput_m_r_EffLife = os.path.join(altBaselinesfolder, 'mod_r_EffLife.csv')
sim1.createScenario(name='h_EffLife', massmodulefile=moduleinput_m_r_EffLife, energymodulefile=moduleFile_e)
#load standard materials
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['h_EffLife'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#sim1.modifyScenario('ex_High_eff', 'mod_eff', 30.0, start_year=2022) #changing module eff
#module efficiency in the module file from 23.86 to 30% in 2040
#also lifetime and reliabiltiy in mod file, from 25-40 years in 2050
#modify package to glass glass
sim1.scenario['h_EffLife'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_EffLife'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Set to no material circularity after 2022
sim1.modifyScenario('h_EffLife', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['h_EffLife'].material:
sim1.scenario['h_EffLife'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
What if long lived modules were eventually recycled?
#modified module
moduleinput_m_r_50PERC = os.path.join(altBaselinesfolder, 'mod_r_50PERC.csv')
sim1.createScenario(name='h_50PERC', massmodulefile=moduleinput_m_r_50PERC, energymodulefile=moduleFile_e)
#load standard materials
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['h_50PERC'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify package to glass glass
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_50PERC'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#glass recycling, 25% closed loop recycle in 2050
#create improvement series
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_glass_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_glass_target.loc[2022] = 0
df_glass_target.loc[2030] = 100
df_glass_target.loc[2050] = 100
df_glass_target.interpolate(inplace=True)
df_glass_lowrecycle = pd.DataFrame(index=idx_temp, columns=['mat_EOL_Recycled_into_HQ'], dtype=float)
df_glass_lowrecycle.loc[2022] = 0
df_glass_lowrecycle.loc[2030] = 0
df_glass_lowrecycle.loc[2050] = 50
df_glass_lowrecycle.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_PG4_Recycling_target',
df_glass_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_EOL_Recycled_into_HQ',
df_glass_lowrecycle.loc[2022:,'mat_EOL_Recycled_into_HQ'], start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#silicon recycled, 25% closed loop in 2050
#create improvement series
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_si_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_si_target.loc[2022] = 0
df_si_target.loc[2030] = 0
df_si_target.loc[2050] = 50
df_si_target.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_PG4_Recycling_target',
df_si_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#aluminium_frames recycle, 25% closed loop in 2050
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_al_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_al_target.loc[2022] = 0
df_al_target.loc[2030] = 100
df_al_target.loc[2050] = 100
df_al_target.interpolate(inplace=True)
df_al_lowrecycle = pd.DataFrame(index=idx_temp, columns=['mat_EOL_Recycled_into_HQ'], dtype=float)
df_al_lowrecycle.loc[2022] = 0
df_al_lowrecycle.loc[2030] = 100
df_al_lowrecycle.loc[2050] = 100
df_al_lowrecycle.interpolate(inplace=True)
df_al_lowCL = pd.DataFrame(index=idx_temp, columns=['mat_EOL_RecycledHQ_Reused4MFG'], dtype=float)
df_al_lowCL.loc[2022] = 0
df_al_lowCL.loc[2030] = 20
df_al_lowCL.loc[2050] = 50
df_al_lowCL.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target',
df_al_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ',
df_al_lowrecycle.loc[2022:,'mat_EOL_Recycled_into_HQ'], start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',
df_al_lowCL.loc[2022:,'mat_EOL_RecycledHQ_Reused4MFG'], start_year=2022) #closed-loop
This module is based on the recent test from Fraunhofer ISE in which an old module was dissassembled, and the silicon wafer cleaned, put into a Cz ingot growth process and made using standard PERC processing, creating a 19% efficient module. https://www.ise.fraunhofer.de/en/press-media/press-releases/2022/solar-cells-from-recycled-silicon.html We will assume this is a low quality module, like a mc-Si module, thus changing the mfging energy, and that the module efficiency improves slightly slower than mc-Si expectations (22% by 2050, ITRPV 2023).
#modified module
moduleinput_m_r_RecyclePERC = os.path.join(altBaselinesfolder, 'mod_r_PERCrecycleSi.csv')
sim1.createScenario(name='h_RecycledPERC', massmodulefile=moduleinput_m_r_RecyclePERC, energymodulefile=moduleFile_e)
#for mat in range (0, len(MATERIALS)):
# matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
# matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
# sim1.scenario['h_RecycledPERC'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modified materials for 71% closed loop recycling in 2050
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['h_RecycledPERC'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#silicon Fraunhofer test recycled
#mfg scrap
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#silicon mfging energy to be mc-Si only for the virgin manufacturing
altmfgSi_mcSi = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_MFG_mcSi.csv'), index_col=0)
#modify
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_MFG',
altmfgSi_mcSi.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_MFG_fuelfraction',
altmfgSi_mcSi.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
#the cool feature of this module was that the wafer was directly put into the Cz process
#therefore, we need to modify the recycling energy to reflect this
#this energy profile is output by the (baseline development) Energy Silicon Manufacturing journal.
altHQRecycle_e = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_eol_recycleHQ_ALT.csv'), index_col=0)
#altHQRecycle_e
#modify silicon recycling energy to match Fraunhofer ISE CZ process
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_Recycled_HQ',
altHQRecycle_e.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_Recycled_HQ_fuelfraction',
altHQRecycle_e.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
#check all modifications made
sim1.scenario['h_RecycledPERC'].material['silicon'].matdataIn_e.iloc[25:30,]
| year | e_mat_extraction | e_mat_MFG | e_mat_MFG_fuelfraction | e_mat_MFGScrap_LQ | e_mat_MFGScrap_HQ | e_mat_Landfill | e_mat_Landfill_fuelfraction | e_mat_EoL_ReMFG_clean | e_mat_Recycled_LQ | e_mat_Recycled_HQ | e_mat_Recycled_HQ_fuelfraction | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 2020 | 0.0062 | 169.060000 | 22.000000 | 1.6 | 138.38 | 0.09 | 0 | 0.4 | 1.6 | 138.380000 | 20.000000 |
| 26 | 2021 | 0.0062 | 170.730000 | 21.000000 | 1.6 | 143.04 | 0.09 | 0 | 0.4 | 1.6 | 143.040000 | 19.000000 |
| 27 | 2022 | 0.0062 | 144.532276 | 0.236169 | 1.6 | 144.33 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
| 28 | 2023 | 0.0062 | 144.418207 | 0.236356 | 1.6 | 144.20 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
| 29 | 2024 | 0.0062 | 144.304139 | 0.236542 | 1.6 | 144.60 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
What if perovskite silicon tandems focused on circularity and lifetime improvements?
#modified module
moduleinput_m_r_perovskite = os.path.join(altBaselinesfolder, 'mod_r_perovskite_life.csv')
sim1.createScenario(name='h_Perovskite_life', massmodulefile=moduleinput_m_r_perovskite, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_remfg = os.path.join(altBaselinesfolder,'material_mass_glass_r_perovskite.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_Perovskite_life'].addMaterial('glass', massmatfile=matinput_glass_m_remfg, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_remfg = os.path.join(altBaselinesfolder,'material_mass_silicon_r_perovskite.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_Perovskite_life'].addMaterial('silicon', massmatfile=matinput_silicon_m_remfg, energymatfile=matbaseline_e_si)
#load standard materials
subMats =['silver', 'aluminium_frames','copper','encapsulant', 'backsheet']
for mat in range (0, len(subMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+subMats[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+subMats[mat]+'.csv')
sim1.scenario['h_Perovskite_life'].addMaterial(subMats[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
sim1.scenario['h_Perovskite_life'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_Perovskite_life'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#aluminium_frames recycle
#eol
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',100.0, start_year=2022) #closed-loop
What if perovskite Si tandems focused on circularity and efficiency?
#modified module
moduleinput_m_r_perovskite = os.path.join(altBaselinesfolder, 'mod_r_perovskite_eff.csv')
sim1.createScenario(name='h_Perovskite_Eff', massmodulefile=moduleinput_m_r_perovskite, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_remfg = os.path.join(altBaselinesfolder,'material_mass_glass_r_perovskite.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial('glass', massmatfile=matinput_glass_m_remfg, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_remfg = os.path.join(altBaselinesfolder,'material_mass_silicon_r_perovskite.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial('silicon', massmatfile=matinput_silicon_m_remfg, energymatfile=matbaseline_e_si)
#load standard materials
subMats =['silver', 'aluminium_frames','copper','encapsulant', 'backsheet']
for mat in range (0, len(subMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+subMats[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+subMats[mat]+'.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial(subMats[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#package to glass-glass
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#aluminium_frames recycle
#eol
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',100.0, start_year=2022) #closed-loop
#trim to start in 2000, this trims module and materials
#had to specify and end year, cannot use to extend
sim1.trim_Years(startYear=2000, endYear=2100)
Trimming and extending PV_ICE PV_ICE glass : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE silicon : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE silver : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE copper : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_PERC r_PERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_SHJ r_SHJ glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_TOPCon r_TOPCon glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_IRENA r_IRENA glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_Life ex_Life glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_High_eff ex_High_eff glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_Circular ex_Circular glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_EffLife h_EffLife glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_50PERC h_50PERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_RecycledPERC h_RecycledPERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_Perovskite_life h_Perovskite_life glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_Perovskite_Eff h_Perovskite_Eff glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff backsheet : Data trimmed for Mass, years now encompass 2000 to 2100
#check
#sim1.scenario['h_Perovskite'].dataIn_m
For the full derivation of the deployment curve, see the "PV Installations - Global" development journal. Essentially, the projection is 2000-2021 IRENA historical installation data, 2022 through 2050 is a quadratic fit to achieve 75 TW in 2050, and from 2050 to 2100 is a linear increase to 86 TW based on 2000-2021 global increase in electricity capacity.
This is the deployment curve applied to all PV technologies - however, it will be modified for each PV tech using the installation compensation method, increasing it for any replacement modules required to maintain capacity.
#global_projection = pd.read_csv(os.path.join(supportMatfolder,'input-globalDeploymentProjection-HieslmairPlus.csv'), index_col=0)
global_projection = pd.read_csv(os.path.join(supportMatfolder,'output-globalInstallsProjection.csv'), index_col=0)
#global_projection = pd.read_csv(os.path.join(supportMatfolder,'input-expotoflatGlobalInstallsProjection.csv'), index_col=0)
fig, ax1 = plt.subplots(figsize=(8,6))
ax1.stackplot(global_projection.index, global_projection['World_Cumu_[MW]']/1e6, color='#F7A11A')
ax1.set_ylabel('Cumulative Solar Capacity [$TW_{dc}$]', color='#F7A11A', fontsize=18)
ax1.set_ylim(0,90)
ax1.set_xlim(2000,2100)
ax1.text(2051,70,'75 TW', color='#954712', fontsize=16)
ax1.text(2088,80,'86 TW', color='#954712', fontsize=16)
ax2 = ax1.twinx()
ax2.plot(global_projection.loc[:,'World_Annual_[MW]']/1e6)
ax2.set_ylabel('Annual Installations [$TW_{dc}$]', fontsize=18)
ax2.set_ylim(0,5)
ax2.axvspan(2000,2022, facecolor='0.2', alpha=0.1) #grey shading
ax2.text(2002,0.5,'Global\nHistorical\nDeployment', fontsize=14)
ax2.text(2060,0.3,'+ Replacements', fontsize=16)
ax2.set_zorder(10) #send orange to back
ax2.patch.set_visible(False) #send orange to back
plt.show()
fig.savefig('energyresults-deployment.png', dpi=300, bbox_inches='tight')
global_projection.loc[2050]/1e3
World_Cumu_[MW] 75000.000000 World_Annual_[MW] 4929.349673 Name: 2050, dtype: float64
#deployment projection for all scenarios
sim1.modifyScenario(scenarios=None,stage='new_Installed_Capacity_[MW]',
value= global_projection['World_Annual_[MW]'], start_year=2000)
#for scen in scennames:
# sim1.scenario[scen].dataIn_m.loc[0:len(global_projection.index-1),'new_Installed_Capacity_[MW]'] = global_projection['World_annual_[MWdc]'].values
Can just calc mass here (exclude energy) because we're going to immediately do Install Compensation.
sim1.scenario.keys()
dict_keys(['PV_ICE', 'r_PERC', 'r_SHJ', 'r_TOPCon', 'r_IRENA', 'ex_Life', 'ex_High_eff', 'ex_Circular', 'h_EffLife', 'h_50PERC', 'h_RecycledPERC', 'h_Perovskite_life', 'h_Perovskite_Eff'])
for scen in sim1.scenario.keys():
print(sim1.scenario[scen].material.keys())
dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet'])
idx_temp = pd.RangeIndex(start=2022,stop=2101,step=1) #create the index evolve_weibull = pd.DataFrame(index=idx_temp, columns=['alpha','beta'], dtype=float) evolve_weibull.loc[2022] = [5.3759,30] evolve_weibull.loc[2030] = [5.1 ,35] evolve_weibull.loc[2050] = [4.602 ,40.767]
evolve_weibull.interpolate(inplace=True) evolve_weibull = round(evolve_weibull,3)
dict_weibull = {'alpha':evolve_weibull['alpha'].tolist(), 'beta':evolve_weibull['beta'].tolist()} evolve_weibull.to_csv(os.path.join(altBaselinesfolder,'evolve_weibull.csv'))
IRENAregloss = {'alpha':5.3759,
'beta':30} #IRENA values
bifiFactors = {'PV_ICE':0.0,
'ex_Life':0.35, # ITRPV 2022, Fig. 58, 0.7 but only 50% of market share is bifi
'ex_High_eff': 0.92,
'ex_Circular': 0.0,
'h_EffLife': 0.92,
'h_50PERC':0.35,
'h_RecycledPERC': 0.0,
'h_Perovskite_life': 0.0,
'h_Perovskite_Eff': 0.0,
'r_PERC':0.7,
'r_SHJ':0.9, # ITRPV 2022, Fig. 58
'r_TOPCon':0.8, # ITRPV 2022, Fig. 58
'r_IRENA':0.0 }
#MAY NEED TO CHANGE TO BE DYNAMIC
#PV ICE currently set up to read in a csv of bifi factors, so generate files to read in
idx_temp = pd.RangeIndex(start=2000,stop=2101,step=1) #create the index
df_temp = pd.DataFrame(index=idx_temp, columns=['bifi'], dtype=float)
bifiPathDict={}
for f in bifiFactors.keys(): #loop over module types
bifi = df_temp.copy() #copy of df
bifi['bifi'] = bifiFactors[f] #assign column
bifipath = os.path.join(testfolder,'bifi_'+str(f)+'.csv') #create file path
bifi.to_csv(path_or_buf=bifipath, index_label='year') #create file
bifiPathDict[str(f)] = bifipath
#append bifi path to dict? or list?
#CALCULATE MASS FLOWs
#13 scenarios, 7 mats =
for scen in sim1.scenario.keys(): #loop over scenarios
if scen in ['r_IRENA']: #,'ex_Lightweight'
sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], weibullInputParams=IRENAregloss)
#elif scen in ['ex_Life','h_50PERC']:
# sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], nameplatedeglimit=0.0)
else:
sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1342018529.1785421 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38148506.617913775 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 224478.16770168545 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 201491419.61921543 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1299656867.6671915 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36944500.10644303 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 403021.7284551227 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 195131966.0664497 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1315289002.5630922 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37388950.795247555 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 384355.3429650476 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 197479362.3363694 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14800267.299473522 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3293873.602176835 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29222140.67779367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet
ii_yearly, ii_cumu = sim1.aggregateResults() #have to do this to get auto plots
C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1)
sim1.saveSimulation(customname='_EnergyAnalysis_identicalinstalls')
:) Saved Input and Output Dataframes
effective_capacity = ii_yearly.filter(like='ActiveCapacity')
#plt.plot(ii_cumu['newInstalledCapacity_sim1_PV_ICE_[MW]']/1e6, label='Capacity Target', color='black', ls='--')
#plt.plot(effective_capacity/1e6, label=sim1.scenario.keys())
#plt.legend()
#plt.ylabel('Effective Capacity [TW]')
#plt.title('Effective Capacity: No Replacements')
#plt.ylim(0,)
scennames_labels_flat[5:8]
['Long-Lived', 'High Eff', 'Circular']
effective_capacity_tw = ii_yearly.filter(like='ActiveCapacity')/1e6
plt.rcParams['figure.figsize'] = (10,5)
fig_effectiveCap = plt.figure()
#capacity target
plt.plot(ii_cumu['newInstalledCapacity_sim1_PV_ICE_[MW]']/1e6,
label='Capacity Target', color='black', ls='dashdot')
#BAU
plt.plot(effective_capacity_tw.iloc[:,0], label=scennames_labels_flat[0]) #, ls='dotted')
plt.plot(effective_capacity_tw.iloc[:,1:5], label=scennames_labels_flat[1:5])
#Extreme
plt.plot(effective_capacity_tw.iloc[:,5:8], label=scennames_labels_flat[5:8])
#create glowlines for extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
#Ambitious
plt.plot(effective_capacity_tw.iloc[:,8], label=scennames_labels_flat[8], ls=(0, (3, 1, 1, 1, 1, 1))) #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,9], label=scennames_labels_flat[9], ls=(5, (10, 3))) #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,10], label=scennames_labels_flat[10], ls='--') #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,11], label=scennames_labels_flat[11], ls='-.') #color=colorpalette[4:7],
plt.plot(effective_capacity_tw.iloc[:,12], label=scennames_labels_flat[12], ls=':') #color=colorpalette[4:7],
#plt.plot(effective_capacity/1e6, label=sim1.scenario.keys())
plt.legend(prop={'size': 11}) #bbox_to_anchor=(1,1.02),
plt.ylabel('Effective Capacity [TW]')
plt.title('Effective Capacity: No Replacements', fontsize=20)
plt.ylim(0,90)
plt.xlim(2000,2100)
#ax.xaxis.set_minor_locator(MultipleLocator(10))
plt.xticks(np.arange(2000, 2101, 10))
plt.yticks(np.arange(0, 91, 10))
plt.grid(axis='both', which='both', color='0.9', ls='--')
fig_effectiveCap
fig_effectiveCap.savefig('energyresults-effectivecapacity.png', dpi=300, bbox_inches='tight')
plt.rcParams['figure.figsize'] = (8, 6)
Make the installations always match up to the cumulative capacity deployment schedule.
#13 scenarios with 7 materials
#currently takes: ~50 mins
UnderInstall_df = pd.DataFrame()
for row in range (0,len(sim1.scenario['PV_ICE'].dataIn_m)): #loop over length of years
print(row)
for scen in sim1.scenario.keys(): #loop over scenarios
print(scen)
Under_Installment = global_projection.iloc[row,0] - ((sim1.scenario[scen].dataOut_m['Effective_Capacity_[W]'][row])/1e6) # MWATTS
sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
UnderInstall_df.loc[row,scen] = Under_Installment #save the underinstallment as df
#calculate flows for that scenario with it's bifi factor and modified weibull
if scen in ['r_IRENA']: #,'ex_Lightweight'
sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], weibullInputParams=IRENAregloss)
#elif scen in ['ex_Life','h_50PERC']:
# sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], nameplatedeglimit=0.0)
else:
sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
0 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 1 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 2 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 3 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 4 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 5 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 6 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 7 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 8 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 9 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 10 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 11 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 12 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 13 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 14 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 15 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 16 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 17 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 18 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 19 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 20 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243090273.7192624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43535636.81728997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258566.00755147517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230886617.3710586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3255894939.4743814 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287278.722760536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86820399.18007183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679112.026830453 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306819144.9062372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702175643.1118681 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88933321.91337505 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347624.15072285547 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305633062.54142976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774568962.1105003 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68762899.41892573 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720239.946204775 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354470718.9765205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486309175.2287116 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45100070.03597143 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818434.7023281073 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233641681.09588602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 21 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209792.68009503305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369744.70500469964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243143948.0381682 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43538085.16702439 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258587.2551248677 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230897294.96966106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 22 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209839.50854984 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188309737.9618834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369842.8663699996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179020152.35454065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355884.5768194879 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182851261.42256415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243143948.0381682 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43538085.16702439 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258587.2551248677 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230897294.96966106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.34569809 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 23 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254222924.4659307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35652809.92328402 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209895.40351244144 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188339048.2792347 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192345750.1533868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33894036.79490179 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 369957.9190583731 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179048051.1548146 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1217860187.5584183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34619398.88448849 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 355975.5178745743 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182879774.36651596 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243143948.0381682 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43538085.16702439 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258587.2551248677 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230897294.96966106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233952.353634004 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 24 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254491403.5137715 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35661361.635807976 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209965.67281048454 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188377368.24731737 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192601250.5297968 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33902175.105084255 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 370099.64857377653 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179084518.67936775 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1218121287.8124182 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34627715.56443094 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 356090.04272474686 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182917041.16062945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243143948.0381682 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43538085.16702439 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258587.2551248677 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230897294.96966106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28233953.948103417 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 25 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1254853700.5959802 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35672717.92286885 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 210054.98184320287 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188428166.0222584 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1192945968.0366974 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33912980.356231764 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 370275.70898860466 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179132851.61715192 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1218473528.0081182 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34638756.61602418 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 356235.93289976363 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 182966428.85670823 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243441784.3035097 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43549825.0118085 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258671.06814721436 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230949527.34272206 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.5721515296 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28234012.8869032 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 26 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1255331468.6841753 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35687451.349611826 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 210166.42048153316 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188494506.29113096 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1193400468.3497038 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33926996.25062026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 370489.77622123307 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179195961.0497668 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1218937904.4507248 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34653077.07079576 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 356417.8106506644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183030909.6347714 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243871630.4367418 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43566559.3551498 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258785.73669258735 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231024604.95319337 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.572163318 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28234681.758466575 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 27 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1255930962.8373635 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35705654.773401976 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 210298.29011105944 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188576915.52318645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1193970661.1918287 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33944309.95066572 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 370735.6954306877 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179274342.3884223 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1219520435.0329077 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34670765.40186923 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 356632.83214818826 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183110986.97609535 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1244456295.6434598 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43588732.15289381 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 258931.4047841193 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231124824.50024843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182486.58993468 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28238029.421611737 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 28 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1256713095.1986134 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35729033.68624214 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 210460.3183513631 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188683465.23663896 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1194714429.90428 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33966542.12614284 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 371027.68795061857 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179375665.83073577 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1220280230.0635273 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34693476.62400668 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 356896.5146473539 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183214493.6800831 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1245299599.6608405 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43619888.08977217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 259126.7418102958 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231266723.80034807 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182489.0866535893 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28247962.942026645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 29 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1257716989.4083197 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35758566.10332721 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 210655.69052320794 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188819079.8795304 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1195668911.5269237 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33994620.93076929 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 371365.9525732852 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179504605.39742497 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1221255193.2944193 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34722157.95367162 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 357213.604930062 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183346200.07813913 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1246471479.2576976 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43662067.63672197 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 259378.18050470593 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231460334.3777908 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168573424 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3182555.9906928265 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28268714.20957273 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 30 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1258972996.0436296 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35795260.307033636 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 210884.37953751953 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 188987318.64433 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1196862884.75354 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34029502.82992951 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 371743.53197692387 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179664534.95130038 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1222474682.4354386 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34757785.29965876 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 357583.63619704015 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183509547.42122138 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1247969814.5444355 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43715865.45897283 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 259678.99074808377 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231706951.32377914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.168595158 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3183139.34230978 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28303106.69395098 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1702318667.6073952 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88942020.64783573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 347680.7685529012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 305661514.8475732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3774772459.481618 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68769162.50773743 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2720416.335236614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 354499171.282664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 31 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1260333491.543117 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35834731.13065367 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211128.37346635346 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189168035.37944627 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1198156186.546081 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34067024.22339248 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 372148.55492232845 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 179836326.24172083 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1223795622.6771417 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34796108.54241298 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 357980.62743698264 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183685009.9698695 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1249680054.338128 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43777121.73501311 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 260023.9001008815 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 231987385.63013488 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299775.185951792 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3184904.971980316 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28348410.869603924 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1704518966.8746183 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89047099.19863802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 348124.5097165779 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 306022306.00741786 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3780158527.62933 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68874594.83129999 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2723385.653736957 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 355001957.1881289 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 32 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1262209612.765508 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35889161.33632999 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211459.72579638156 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189417233.37577772 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1199939647.2245126 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34118766.15263675 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 372701.6334140057 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180073216.4928926 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1225617196.9914763 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34848956.228053235 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 358522.81970867584 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183926962.7093212 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1252062627.4721248 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43862459.21699692 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 260504.4009994519 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232378064.90601093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299777.602040946 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3189125.6946115405 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28408841.26371841 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1707521595.6509387 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89190494.18363532 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 348730.0591557572 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 306514658.0864869 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3787499302.1988196 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 69018290.54742996 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2727432.5943136876 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 355687213.64748174 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 33 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1264093904.4380963 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35943828.583877265 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 211787.39327383094 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189667510.5497862 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1201730875.3177154 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34170733.43085026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 373251.6648423105 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180311132.68797708 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1227446704.4604237 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34902034.07112261 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 359062.10163877095 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184169963.2839226 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1254603670.5520535 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43953472.6742375 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261016.86102252104 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232794729.08150724 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14299867.373579448 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3196677.674440696 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28480963.77209841 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1710597364.4418583 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89337382.0783719 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 349350.35896806663 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 307019003.20263577 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3795511846.7646594 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 69175136.16617393 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2731849.879086495 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 356435179.39246124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 34 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1266705469.8805869 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36019595.56656231 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 212234.42534487692 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 190014379.01151422 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1204213457.033598 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34242758.32550581 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 374006.4328430986 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180640869.51436153 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1229982340.4614198 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34975598.18169676 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 359802.2245920111 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184506746.78735605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1258120144.7578304 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44079423.500216424 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 261726.0392599341 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 233371338.2847032 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14301196.658430964 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3209095.282248949 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28570819.322614543 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1714768203.1485927 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89536566.65906167 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 350191.50491980347 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 307702910.9587051 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3806189644.7675943 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 69384154.1405305 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2737736.5077520567 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 357431944.7860735 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 35 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1269577035.6183608 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36102905.7023119 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 212718.1642686187 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 190395778.93586117 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1206943197.5280437 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34321953.81393288 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 374828.05573010247 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 181003432.28085962 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1232770417.3027358 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35056486.12971582 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 360608.0148729787 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184877057.75825372 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1262125584.8947268 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44222887.7954535 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 262533.8287701432 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 234028125.0292185 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3256098436.845499 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16287377.39822049 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 86828923.93984328 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4679456.496715097 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 306847597.21238065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14310233.551292697 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3227964.9411794688 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28675383.90348614 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1719370907.7415369 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89756375.63486889 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 351119.746601541 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 308457633.35181224 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3818364807.864104 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 69622483.04759485 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2744448.627991846 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 358568488.22254336 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2486512672.5998297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45106333.124783106 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1818611.0913599469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 233670133.40202945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 36 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1272372396.659252 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36184004.98021538 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 213181.47609634325 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 190767056.44160348 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1209600498.060655 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34399047.66736176 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 375619.8100464855 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 181356372.70584357 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1235484505.5707872 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35135227.51427595 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 361384.61878527 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 185237540.6825651 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1266249905.9590278 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44370610.091780186 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 263365.59336494707 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 234704405.11644444 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3274040280.456519 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16296077.361571467 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 87306962.11497284 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4698773.141342781 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 308522456.46745867 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14345551.527412033 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3251791.8246016535 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28792894.009431005 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1723942767.7573552 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89974711.58220549 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 352041.7677619382 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 309207298.0462136 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3831234012.0590096 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859524 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 69874397.81425937 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2751543.3703999664 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 359769819.93731135 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2501675912.1117983 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45403153.649633296 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1826970.526549605 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 235085611.79902026 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 37 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1276107082.2959445 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36292356.03179748 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 213790.33555444368 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 191263093.59354046 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1213150729.005161 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34502047.30203443 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 376666.8439963956 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 181827910.77296478 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1239110607.4730568 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35240428.324323975 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 362411.76115736546 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 185719155.85321385 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1271543992.697102 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44560230.3074977 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 264433.2682238872 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 235572495.98162863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3306093840.5745254 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16311620.067457259 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 88160989.47790258 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4733282.818457084 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 311514635.141275 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14444658.402373377 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3281448.8623283654 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28930745.554548606 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1729910332.1348722 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 90259701.45878729 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 353245.264941 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 310185821.5158546 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3857547011.0422635 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859539 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 70389474.96267653 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2766049.6247840025 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 362226121.01937485 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2528368911.4338994 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45925669.30747527 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1841686.2736480113 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 237577385.6618218 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 38 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1279658890.362252 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36395401.42207645 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 214359.73893713785 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 191734840.82114702 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1216527116.2236571 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34600003.366148144 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 377652.363627845 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 182276358.79715875 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1242559149.6727374 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35340477.75555041 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 363378.695076133 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 186177187.42237872 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1277015000.6598394 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44756187.37458267 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 265536.6233338188 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 236469597.27043945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3347574205.088892 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16331733.811556533 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 89266182.35473588 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4777941.632663818 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 315386799.7814921 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 14670966.951635623 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3315242.2432721546 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29082011.505892076 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1735736537.7244353 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 90537940.53705604 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 354420.2538557557 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 311141165.86535513 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3892109281.3815956 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859648 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 71066031.65849584 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2785103.670502995 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 365452486.1359889 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2562413875.4206147 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 46592099.727641486 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1860455.130379221 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 240755460.57196787 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 39 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1283647469.0878577 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36511118.44387646 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 214988.33544638404 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 192264599.27986646 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1220318702.2632198 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34710005.21757958 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 378747.57041421236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 182779952.91290876 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1246431763.73764 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35452830.39968767 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 364453.4033519824 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 186691543.5876633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1283284436.5240626 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44980742.022025704 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 266800.9998699697 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 237497619.7175311 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3401058521.197823 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16357668.247286089 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 90691205.63690636 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4835524.206106627 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 320379525.377514 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 15087735.092208104 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3354072.798323704 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29251697.48875603 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1742305166.2764924 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 90851635.12364739 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 355744.96950733534 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 312218248.0373981 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3937580208.568894 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 71956125.39225931 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2810171.6164743197 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 369697167.1669755 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2605686813.5173836 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043746 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 47439167.808809355 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1884311.3334815043 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 244794960.77256468 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 40 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1288598829.3267522 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36654767.77365544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 215755.2249894756 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 192922233.18411213 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1225025516.9170287 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34846559.767802425 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 380092.8628019755 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 183405106.55715987 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1251239166.2630231 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35592303.21471825 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 365773.7120237525 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 187330057.19594687 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1290904704.8698735 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45253679.92407517 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 268337.8029738338 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 238747143.1327173 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3468202849.8826184 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16390226.395236101 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 92480183.01574516 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4907813.496108691 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 326647404.12853926 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 15664976.689538658 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3398383.7264820123 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29442434.435201276 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1750367011.7832718 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 91236640.49780889 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 357370.8268440399 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 313540178.4830461 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3995610828.89127 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859648 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 73092075.21141721 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2842163.6726057325 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 375114287.25964826 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2659250040.2400594 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043997 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 48487668.36543149 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1913840.5328312705 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 249795052.62227935 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 41 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1293484357.2056537 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36796507.16880342 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 216498.65640114655 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 193571123.26081222 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1229669752.517928 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34981298.76864591 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 381406.17904312833 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 184021948.4768008 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1255982651.4206421 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35729921.6530528 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 367062.83280582743 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 187960081.32518077 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1298995245.622186 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45543461.74266373 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 269969.4473695235 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 240073778.84326813 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3546416892.7039304 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16428152.224979661 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 94564099.20130594 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4992020.7215660475 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 333948633.385486 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 16374913.476545217 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3446355.1362812123 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29647027.38824639 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1758645162.1972077 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 91631975.83322339 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 359040.30706088623 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 314897577.239526 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4063572232.9818416 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 74422420.19579843 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2879630.53134953 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 381458439.46033275 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2720781182.9867663 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043997 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 49692140.936763816 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1947762.41341165 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 255538944.17206135 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 42 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1298879784.807294 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36953039.82275139 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 217305.03356773185 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 194287737.6116177 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1234798704.217467 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35130100.398614176 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 382841.0049670662 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 184703169.81157705 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1261221211.3390718 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35881903.24699502 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 368471.4419580073 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 188655860.69472694 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1308174259.934802 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45872229.81167075 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 271820.6075972073 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 241578895.56507605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3637396248.3304243 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16472267.928850792 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 96988131.31757288 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5089971.407080512 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 342441496.16456383 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 17193650.00757921 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3497322.347506413 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29863183.237970203 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1772935479.3126478 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 92314431.09527095 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 361922.27954552794 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 317240813.0726834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4143163961.8250985 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 75980428.87266076 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2923509.143065244 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 388888274.7978179 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2791378627.5953984 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455043997 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 51074086.433652885 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1986682.5110791433 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 262129169.0146746 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 43 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1304805397.4341276 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37124954.25460547 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 218174.5649681618 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 195074770.51093113 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1240431655.456933 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35293524.11072274 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 384399.7355478865 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 185451331.76965243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1266974541.5491302 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36048819.40514081 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 370001.93302510463 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 189420011.24608523 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1319014738.9081302 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46260507.16017361 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 274006.8405456501 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 243356448.75537214 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3742710667.035284 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16523334.675553396 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 99794103.41408466 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5203355.58567426 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 352272527.6173548 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 18067606.988833796 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3549101.309668003 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30082096.450843744 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1792739629.7324252 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 93260207.63439032 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 365916.2438592966 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 320488172.4233534 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4235935850.8461113 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 77796439.28183645 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2974653.926017549 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 397548469.3857631 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2872000086.4035277 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044248 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 52652252.08214294 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2031128.808934577 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 269655128.96450657 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 44 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1311644441.2054286 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37323369.23688836 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 219159.56993748058 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 195983124.2592996 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1246932922.8377838 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35482139.492539845 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 386179.01984555426 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 186314822.4551957 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1273614744.9385078 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36241465.61152816 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 371749.2636550526 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 190301955.248839 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1331369490.01742 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46703021.74038086 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 276498.4614427889 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 245382302.71474645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3861814165.755305 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16581087.719014369 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 102967468.44914122 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5331585.438111239 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 363390760.58539146 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 18918253.735294674 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3598012.6950320504 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30288515.69651022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1818095957.7949197 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 94471136.64126007 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 371029.93302359805 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 324645942.7536656 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4341284086.07066 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 79858631.76034401 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3032731.999902047 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 407382657.58833975 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2961966967.5266957 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044248 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 54413354.441110104 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2080727.2019014123 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 278053477.91718 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 45 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1319140240.234212 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37540838.064582266 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 220218.81806571173 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 196978707.46802023 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1254058508.9838393 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35688867.669197775 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 388107.5516166231 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 187261234.42436197 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1280892609.0253477 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36452611.69015208 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 373643.473309431 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 191268592.59495586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1344456641.7585945 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47171768.97839681 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 279137.787842316 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 247528251.09826794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3992358594.7138367 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16644388.446199156 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 106445662.88364935 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5472132.886689336 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 375576996.8373772 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 19669049.005509093 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3640393.63464355 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30467185.830705326 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1847792215.3539262 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 95889325.40995908 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 377018.8692025874 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 329515347.2784786 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4370182753.111646 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 80424323.37998807 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3048663.7230675328 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 410080329.0764185 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3059283888.9641356 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044498 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 56318333.89322947 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2134377.6436141618 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 287137948.28036314 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 46 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1327248331.6040661 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37776070.77536687 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 221342.58140438143 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198055614.62507427 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1261766147.186133 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35912482.39495352 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 390170.2315106629 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188284953.86281005 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1288764963.7284098 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36681005.18654806 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 375669.7847275936 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192314189.48525685 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1359969770.4994454 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47727408.31032124 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 282266.3685323505 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 250071995.8490874 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4138489050.573736 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16715246.806020204 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 110339127.67827113 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5629460.647778135 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 389218178.4100108 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 20290916.860285945 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3675083.8255223087 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30613337.562537126 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1883994707.5805433 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 97618229.0528739 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 384319.9378653561 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 335451603.02072227 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4403904112.2318 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859648 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 81084419.23251386 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3067254.1776896873 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 413228195.6859295 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3166810811.5890217 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044498 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 58423174.19360531 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2193656.8194206655 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 297175515.51329404 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 47 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1335028360.7986908 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38001785.71541296 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 222399.75738479896 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 199088948.94994244 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1269161928.0261273 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36127049.48553033 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 392127.0162017751 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 189267252.7732626 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1296318795.4610317 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36900157.6645137 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 377592.398831236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 193317480.5293303 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1376449770.2814214 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 48317678.411339544 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 285589.9410979475 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 252774281.99904475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4296845175.194484 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16792033.367673036 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 114558330.25719641 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5799950.874436745 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 404000618.08953434 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 20767974.31506685 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3701483.543611068 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30724513.33353245 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1924529996.5289178 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 99554051.82139364 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 392494.81505404995 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 342098323.37016726 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4438298133.556434 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859648 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 81757682.45263435 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3086215.468378804 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 416438854.86810714 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3281845932.3541875 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044498 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 60674987.52773944 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2257075.2357697454 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 307913968.08537084 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 48 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1343951841.135856 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38260674.567744955 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 223588.08673032315 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 200274155.1103566 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1277644684.9136553 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36373152.02761549 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 394345.6591630102 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 190393922.56358194 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1304982832.937442 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37151519.536124185 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 379772.68267056043 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 194468227.79419872 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1397894922.5784824 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 49085787.172274314 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 289914.8513396036 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 256290722.46037617 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4470702282.931322 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16876336.32440421 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 119190537.31003104 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5987129.853306386 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 420230064.30850023 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21144246.243109915 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3722180.1542381584 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30811644.471307043 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1971490568.8837693 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 101796723.51674095 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 401965.49903512705 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 349798621.0611525 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4477785153.223204 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859648 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 82530641.15272014 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3107984.509319997 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 420124942.08289707 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3406549235.3505726 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044498 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 63116055.60008121 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2325823.6835214077 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 319554939.08536375 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 49 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1353382158.8435602 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38534267.833626345 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 224818.3126736987 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 201526678.81406012 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1286609247.7838469 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36633232.77026654 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 396663.12033524486 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 191584585.25770125 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1314138972.3629746 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37417158.31584955 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 382050.4866693233 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 195684335.46101943 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1423054472.1220393 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 49986935.84018223 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 294988.855570914 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 260416226.29351813 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4660102072.720291 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16968175.895942703 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 124236859.85321902 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6191042.478520933 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 437910409.63505656 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21405843.48113129 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3736506.7372071557 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30871945.40602098 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2024063607.0629182 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 104307426.83125474 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 412568.06637092255 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 358419215.4065524 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4521140756.339107 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 83379327.40224504 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3131886.285327024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 424172159.0084515 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3540709508.8682723 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044498 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 65742243.93985751 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2399785.722478369 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 332078712.03960496 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 50 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1364437346.2472672 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38855001.97222701 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 226230.50093255503 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 202995015.79921976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1297118361.837603 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36938124.17738619 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 399347.9861698524 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 192980393.42294475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1324872705.2527637 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37728566.385804266 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 384689.90364062577 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 197109977.23581353 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1452231861.1624167 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 51031992.91567745 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 300873.1499297285 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 265200550.0398062 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4867549781.042307 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 17068766.86634538 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 129764046.80630088 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6414385.951318922 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 457275516.24062586 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21605533.64055593 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3747404.7975692176 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30917808.20680355 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2083814450.5463948 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 107160916.8705361 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 424618.203919477 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 368216780.87559223 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4647112131.489187 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9886272.571859663 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 85845217.99631183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3201333.8163435995 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 435931503.7067539 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3685846916.5221376 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6916769.455044498 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68583309.76099758 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2479799.4129512883 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 345627193.2178604 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 51 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1376182566.0292075 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39195755.39520138 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 227730.8338412657 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 204555002.07307246 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1308283592.6975553 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37262050.907108 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 402200.4765622918 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 194463346.25050312 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1336276492.4381058 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38059414.134115584 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 387494.0864671564 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 198624614.83386213 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1470669533.034885 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 51652015.90947633 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 303126.30029738974 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 267484761.9689792 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4916237425.03746 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16798205.367330346 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 130987050.05571614 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6440388.083055239 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 461540956.37798333 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21756537.132168133 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3755627.100453173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30952407.02196716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2097042344.2044206 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 107595931.64518036 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 426547.4858186065 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 369738078.1168995 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4681525047.833567 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9688547.120422443 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 86567854.37942238 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3206012.573187965 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 438879733.51254624 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3692236416.439092 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6778434.065943808 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68726290.25345446 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2472860.8212023424 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 345970872.34931374 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 52 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1389516234.6884406 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39582593.04667092 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 229310.6230378143 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 206325964.25808716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1320958724.980525 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37629783.03918062 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 404936.46574738447 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 196146842.4087532 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1349222497.0097575 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38435004.83854967 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 390677.49940726074 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 200344087.93082917 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1488497235.6789331 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52263405.675491236 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 305568.98296071077 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 269704372.75914407 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4959438506.19382 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16524983.445191722 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 132138089.29378672 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6463482.281271914 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 465520413.29754615 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21841592.869905155 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3760248.960872924 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30971853.819522336 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2149006935.568979 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109165508.11067864 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 436582.79901685624 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 375090127.42026573 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4712968334.897237 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9490821.668985302 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 87286888.23688513 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3210589.8711467455 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 441776934.18639827 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3695262243.620745 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6640098.676842868 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68857954.81674498 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2465603.535938105 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 346226738.65250593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 53 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1405781310.5743406 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40054476.96080427 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230327.5862285015 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 208188495.27078432 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1336420485.25819 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38078361.08519765 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 406509.21641299676 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 197915860.80347246 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1365014680.852833 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38893169.164179616 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 393106.61634223757 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 202150153.68707716 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1505312751.3270688 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52849720.28145543 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 307983.01489345316 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 271792713.46854126 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4998908550.904279 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16249952.35109484 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 133189719.69224146 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6482559.550867368 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 469151580.42828166 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21901874.08771175 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3763518.419230617 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30985609.32444463 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2164649701.800975 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109912551.58366579 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 439737.52410098934 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377655129.30709696 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4742548475.303813 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9293096.217548126 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 87969450.98484692 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3214140.0235726354 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 444500211.3499438 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3695791113.3554177 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6501763.287742179 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68940741.41966584 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2456969.6877083513 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 346249515.62662584 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 54 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1423023416.7444634 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40538603.496340305 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230851.34540399865 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 209930970.8418155 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1352797852.7912378 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38538157.86135771 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 407138.2893116948 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 199570419.52058226 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1381735498.1417642 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39362583.735157795 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 394823.1952398591 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 203839148.2109197 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1521109287.994998 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53415101.6930898 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 310454.6115583056 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 273762850.44860464 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5034159723.545393 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15972875.5345416 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 134128943.47580984 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6497094.6756164 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 472388918.63683283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21944340.845436662 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3765817.6614193656 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30995282.297176022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2180736714.7097187 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110680810.71476212 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 442981.84178747237 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 380292975.95470595 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4769954827.228203 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9095370.766111048 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 88609461.80729914 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3216491.7748311227 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 447020566.79390985 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3693607415.619884 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6363427.898641238 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68970429.4944284 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2446840.4115427076 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 346019076.21836084 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 55 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1439526815.8893037 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40998210.056094415 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230964.04797346186 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 211569151.61416617 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1368471758.6222434 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38974613.4576998 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 407075.06104800577 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 201125683.28515536 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1397737207.2541988 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39808142.37548694 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 395973.72327063454 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 205426651.0069863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1535894000.9014168 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53963649.303232335 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 313058.5768308358 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 275628375.5837543 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5064885419.200851 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15693604.323433528 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 134947591.53668693 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6506757.556877082 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 475203806.5566958 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21974097.37482768 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3767426.130289488 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31002048.839029957 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2197448683.9722915 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 111478915.5622814 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 446352.1963562227 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 383033298.99319005 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4795429310.995828 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8897645.314673843 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 89211656.29638943 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3217778.494660202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 449360583.62094796 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3688778143.8984504 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6225092.509540298 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68948330.43898007 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2435252.6406894987 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 345541674.22523886 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 56 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1455401431.81699 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 41440981.21715717 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230802.9510171855 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 213120962.82255816 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1383548256.9451082 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39395082.26945534 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 406683.02149993705 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 202598903.36884344 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1413128903.228778 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40237381.1533783 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 396786.29106539907 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 206930386.96587327 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1550037244.914191 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 54491249.02886486 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 315860.81867801055 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 277402994.5378537 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5091553363.321248 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15412365.516887262 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 135658125.83952418 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6512051.759751667 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 477639906.04987067 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21994813.64493596 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3768544.239699819 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31006752.33791431 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2215028099.5098753 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 112318446.59160922 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 449897.49150020967 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 385915860.3863957 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4819120623.869165 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8699919.863236574 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 89778945.20212317 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3218082.159284552 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 451534142.622334 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3682283017.5284176 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6086757.120439609 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68893622.26654647 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2422746.4906232324 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 344908765.80054224 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 57 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1477858839.2149491 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42177659.86360842 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230454.21428689448 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 214598933.6271514 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1404868891.9270644 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40094548.0740553 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 406223.8063259606 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 204002158.68164402 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1434891461.160973 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40951383.4363466 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 397413.90233914944 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 208362776.75926554 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1563475225.5534613 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 54995902.81609754 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 318496.80669645674 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 279078340.328721 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5113834681.776614 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15128999.64450832 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136251783.94093257 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6512623.209997088 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 479666516.9334625 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22009155.83236422 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3769317.2311209263 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31010003.939284068 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2233791939.061539 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 113214541.5442127 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 453681.6531011933 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 388992636.1395083 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4839061889.927484 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8502194.411799492 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90272826.91390157 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3216318.437630181 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 453357637.2294871 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3674143233.8215766 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5948421.731338668 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68806719.9146617 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2409333.6473397687 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 344204105.4818989 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 58 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1510748590.3055558 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43131860.42119452 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230528.63617027094 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 216649974.0676472 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1436134251.473668 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41001621.63111299 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 408261.8459743974 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 205949851.85458317 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1466824973.106472 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 41877841.49375585 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 400761.794470482 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 210351076.56994858 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1576035920.0795188 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55469134.52993712 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 320955.86970903975 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 280609834.29042256 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5131442141.869604 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14843367.427748073 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136720912.88185972 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6508162.665594498 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 481256826.2248171 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22019038.2081594 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3769849.154722253 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31012241.426488582 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2245027992.688431 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 113599124.33407842 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 455873.57168355875 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 390306923.8631732 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4856145536.425522 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8304468.960362286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90710770.70179272 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3212979.321384686 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 454914374.9374169 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3664455883.3731875 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5810086.342237728 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68689523.93244117 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2395067.636508074 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 343456486.5702015 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 59 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1547088329.7308674 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44186152.3654127 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 235170.66994792726 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 221476575.50647566 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1470679207.8542638 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42003843.16052937 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 417087.38280555536 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 210538072.32087272 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1502108168.127624 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42901480.87217056 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 409437.90600565873 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 215037349.02398112 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1587837395.5549517 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55915173.02098323 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 323261.81866571784 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 282016836.3132632 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5144495953.511291 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14555527.156146822 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137068715.50632605 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6498799.54758797 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 482422055.439766 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22025820.496972803 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770213.768898244 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31013775.110564973 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2255546183.9666286 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 113949424.54411511 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 457920.71674410684 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 391503501.0584333 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4870049164.56298 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8106743.508925079 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91086465.6069121 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3207887.073338687 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 456174260.03097767 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3653740222.201689 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5671750.953136536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68552198.76026088 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2380234.721959149 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 342667111.9675056 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 60 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1556864465.6614606 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44469778.54216034 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 236419.47233128073 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 222775030.37970778 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1479972510.352617 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42273461.32824722 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 419461.6334075447 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 211772397.82566103 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1511600071.950172 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43176860.8802186 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 411771.9581286658 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 216298052.5230057 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1598769876.7470138 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56330086.43009878 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 325392.5148555219 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 283281346.1487607 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5153461810.48371 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14265704.64366921 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137307599.64769346 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6485035.2337337695 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 483205676.7853899 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22030459.11740622 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770462.8583818106 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31014822.8440296 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2265574834.8599663 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114276346.0279183 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 459869.134679995 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 392619806.517082 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4880600767.290605 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7909018.057487997 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91396544.59000686 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3200946.866672396 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 457121235.7656881 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3642795549.6645303 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5533415.564035595 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68410390.68891525 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2365275.5543316784 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 341840231.99389243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 61 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1566843269.916848 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44759284.551442735 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 237694.16354114303 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 224100403.4214113 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1489458471.5908496 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42548668.929479204 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 421885.1044162961 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 213032312.037628 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1521288751.7024267 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43457949.77007995 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 414154.39730711246 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 217584891.56951818 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1608948346.096993 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56717993.12488884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 327371.14714328485 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 284422217.890525 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5157659860.819734 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13973570.231483826 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137419451.49331445 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6466137.778133077 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 483544226.52942646 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22033621.02014962 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770632.4731399943 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31015536.278007198 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2275277531.9333196 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114587701.10421377 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 461751.8165001012 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 393682664.12955827 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4888321775.584348 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7711292.606050759 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91651214.66626222 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3192446.164262469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 457803977.37888104 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3631319512.319677 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5395080.174934404 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68258181.14755508 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2350023.4473446175 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 340970245.1209588 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 62 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1577104218.5104065 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45056976.158848435 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 239004.89583354114 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 225463250.54218397 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1499212642.3417335 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42831657.85036351 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 424377.09752437536 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 214327849.521532 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1531251372.7057095 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43746986.26932746 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 416604.19843638537 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 218908115.17071593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1618458149.4928486 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57081949.96983007 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 329214.92749839777 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 285453446.0175637 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5157845627.911361 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13679490.271341568 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137424401.02711964 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6442920.596463096 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 483508232.2816879 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22035768.040614165 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770747.5369146285 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016020.255150106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2284513982.0235243 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114876789.86517894 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 463540.4688479692 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 394669069.5101361 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4893067983.400937 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7513567.154613552 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91847653.00132164 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3182305.465875997 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 458209023.33162856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3620281581.449001 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5256744.785833464 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68114547.54364571 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2335012.866759237 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 340063967.218246 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 63 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1577643417.516415 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45072619.451215275 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 239073.77304725684 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 225534866.31982496 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1499725210.855571 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42846528.536382265 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 424508.04840031563 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 214395928.268532 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1531774894.9992013 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43762174.74743369 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 416732.93218078575 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 218977648.78584313 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1627163428.3383443 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57417090.86853979 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 330896.45689724264 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 286352753.2963923 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5153642383.797079 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13383282.088622732 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137312410.7997173 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6535362.658334635 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 483062526.7357002 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22037218.468626447 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770825.201678049 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016346.923773397 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2293634815.476265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115160357.18235941 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 465305.80443069845 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 395636516.80562526 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4894724494.199047 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7315841.703176345 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91983610.49454442 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3170461.429494954 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 458325648.1076577 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3609631561.285065 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 5118409.396732523 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67978507.29467072 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2320216.139843434 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 339118360.39090693 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 64 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1578037885.5892797 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45084063.796112865 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 239124.16234964045 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 225587259.1051935 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1500100196.5500984 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42857407.656683855 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 424603.8496519292 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 214445733.42732966 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1532157894.2775 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43773286.358582735 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 416827.11141978094 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 219028518.29940984 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1635256830.3560002 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57730315.954036 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 332454.5872023106 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287151728.88230675 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5145391741.307655 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13085111.330691654 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137092582.6613833 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6735712.613203788 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 482238999.223667 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22038191.27646711 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770877.251310959 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016565.85064699 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2302580574.7718697 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115435563.5738291 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 467035.8322662617 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 396575256.54794073 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4893541730.243395 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7118116.251739169 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92063989.16360243 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3157052.1119435527 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 458177228.4600398 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3599889460.035762 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4980074.007631332 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67860239.56512007 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2305919.9451073417 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 338136409.0558358 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 65 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1552692263.8987548 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44361277.160150334 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 233854.34816565044 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 221739235.84514967 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1476006369.8626246 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42170318.7328998 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 416248.51039857394 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 210787760.19311094 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1507549173.3297677 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43071514.08241698 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 408645.806451569 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 215292372.78751913 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1642677582.5809815 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58019448.49909994 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 333877.0621416773 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287840407.60884243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5133145996.798139 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12785003.355944345 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136766309.98365045 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7042568.6265680855 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 481309808.40911466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22038837.318343423 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770911.793546498 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016711.13889561 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2311339515.6028314 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115701848.17278619 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 468728.1838438119 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 397483362.9798048 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4902523504.976026 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6920390.800301931 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92343338.75216171 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3149246.465186271 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 458977661.7878885 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3591321924.499801 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4841738.618530392 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67764963.96803758 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2292271.283897903 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 337118233.07463956 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 66 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1523246242.999668 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43526574.34444783 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 227962.58944141216 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 217385036.39066383 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1448014658.2453308 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41376841.047793455 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 406793.0505410738 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 206648610.25574234 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1478959268.3456986 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42261079.48175366 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 399384.61887937284 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 211064767.66673848 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1649392478.1076057 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58283299.12000393 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 335157.18477588956 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 288413344.4175954 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5173078063.045273 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12510196.29514769 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137830250.37304315 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6365651.49013403 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 484716828.11194074 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039260.89203203 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770934.4271198115 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016806.337872885 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2319363416.2839584 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115933029.84057531 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 470272.29759921884 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398270942.1760594 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4909839405.787703 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6722665.348864095 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92590078.84647931 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3140522.4285911685 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 459622586.8851006 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3619259743.7423015 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4703403.229429451 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68384280.95894603 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2298747.883329838 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 338759658.1391214 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 67 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1489437741.7523725 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42565306.83784048 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 221420.3567065216 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 212451417.4285397 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1415875925.320779 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40463049.58977937 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 396179.0786068938 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 201958657.82707906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1446133718.381659 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 41327759.949839495 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 388986.0644693629 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 206274589.1627139 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1655589864.9133356 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58528613.94424519 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 336332.93982454523 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 288901423.4188568 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5210343327.170949 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12234096.107444927 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 138823137.1267443 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6382355.036941483 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 488142180.43078214 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039534.339383796 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770949.030924903 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016867.76279702 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2325826793.3178144 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 116089686.38999051 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 471501.6957204844 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398802636.5728913 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4916175455.344816 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6524939.897426888 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92817638.34528989 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3131258.203796068 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 460176043.51464105 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3645331778.350375 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4565067.840328761 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 68967075.20192783 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2304195.8829222065 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 341166872.6894292 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 68 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1451869778.454377 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 41494969.46399332 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 214353.23792867298 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 207018471.1396352 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1380163405.8989983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39445575.10117759 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 384604.63527210464 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 196794039.2802109 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1409658009.0121875 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40288541.64932886 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 377644.0336908361 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 200999600.78066528 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1661238689.3247776 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58754280.71119428 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 337398.06459721236 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 289299552.6276377 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5244579483.044786 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11956527.111332513 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 139735317.0471694 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6395797.368853302 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 491284767.4942674 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039707.805834725 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770958.2908620294 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016906.71089967 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2330830528.217932 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 116176635.56714599 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 472436.7232946954 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 399094988.0829466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4920998648.213548 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6327214.4459898705 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 93015583.66331056 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3121159.9469705573 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 460588275.9711769 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3669284546.745622 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4426732.451227821 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69508384.79322343 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2308475.5392630096 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 343376255.1380042 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 69 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1408883903.2651064 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40267447.11986886 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 206495.3119165226 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 200865924.16719764 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1339300560.557401 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38278678.87171491 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 371609.4990820301 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 190945360.50373876 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1367921908.9367824 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39096708.398011915 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 364906.9847657302 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 195025933.49360567 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1666335796.3586545 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58960186.41767634 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 338351.92281864776 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 289607214.7097311 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5275419147.996686 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11677311.16370376 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 140557001.67862847 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6405582.952353821 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 494110294.37270576 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039815.800209757 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770964.0535359653 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016930.94919807 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2229938679.4342556 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110560508.89707951 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 451645.0050807782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 379780846.9286242 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4953508782.795385 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188804 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94214279.92187643 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3060880.8877238394 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 463433028.5033828 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3690861015.6313825 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4288397.062127132 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70003178.30416228 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2311445.1508917203 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 345363811.59630823 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 70 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1361722944.282074 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38918796.85133409 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 198083.6287497819 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 194158847.47702184 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1294468834.9178727 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36996637.11309196 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 357578.6859258005 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 184569539.71525812 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1322132111.94231 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37787268.90973071 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 351152.12939274684 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 188513858.95070016 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1670999242.6680093 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59150559.54144854 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 339218.32333948446 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 289843767.84855026 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5302638211.096194 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11396339.593625732 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141282219.8632766 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6411470.503921989 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 496597840.45870733 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039881.73483326 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770967.570717144 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016945.742758922 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2230761351.801967 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110599796.8346261 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 451810.91596354364 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 379915743.5411783 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4992963267.557427 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188804 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94986601.74706988 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3082631.992188471 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 467116078.6062971 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3709904389.448256 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4150061.673026192 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70448386.46051715 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2313018.2770239827 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 347114905.30239475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 71 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1310754095.5587313 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37459671.72686555 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 189200.16282817107 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 186946011.35130402 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1246017286.3309598 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35609576.71005173 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 342638.63188521046 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 177712938.30142212 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1272645135.559649 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36370566.504682906 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 336503.18732631777 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 181510729.39097705 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1675443203.4559155 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59333071.27307079 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 340040.4595358499 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 290044331.1395192 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5326582417.079572 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11113780.052015472 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141920183.54088825 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6413832.261124196 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 498779680.79512554 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039921.191472244 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770969.6749079367 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016954.59316201 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2231356859.0106287 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110628236.1634988 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 451931.01374555257 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 380013391.0474565 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5034166528.6651 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188804 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 95793155.88566385 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3105347.190377444 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 470962375.8264554 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3726656562.8651967 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4011726.283925252 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70848744.35221007 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2313328.2732535275 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 348652116.963901 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 72 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1255060165.2658293 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 35863462.09069332 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 179714.80242596817 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 179105595.45030782 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1193074024.9668012 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34092202.312698886 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 326552.8284448721 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 170259752.88075754 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1218570455.9065404 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34820765.220089294 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 320727.86660313624 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 173898266.4800459 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1679550322.8022552 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59503518.23318996 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 340794.6638760897 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 290189661.30097836 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5347013925.235125 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10829517.21039727 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142464555.74062285 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6412412.158608101 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 500633613.1085574 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039944.32075478 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770970.908109134 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016959.780109517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2231788367.96096 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110648843.51261462 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 452018.03749118996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 380084147.15640616 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5077829074.836166 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188804 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 96647850.54774041 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3129418.182901233 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 475038245.68355125 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3740951134.5051627 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3873390.894824563 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71200994.67106286 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2312283.4031459377 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 349959913.12214583 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 73 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1195780394.5033152 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34163219.71295082 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 169835.01826240748 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 170788912.4366755 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1136722022.5115964 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 32475933.197633427 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 309663.7652744363 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 162353822.4785707 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1161014189.939013 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33169955.825298943 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 304161.8415677921 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 165823383.37072217 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1683662788.8531575 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59674156.69815643 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 341549.9465027875 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 290335868.18124086 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5363742948.083685 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10543459.041209932 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142910279.81043437 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6407005.866352265 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 502141920.8631285 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039957.5920254 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770971.615584369 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016962.75580952 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2232102028.346781 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110663822.8289636 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 452081.29435205273 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 380135579.2029843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5124895132.704904 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5338587.188804 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 97569168.97631243 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3155365.5182365254 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 479431831.1104733 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3752655322.651958 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3735055.505723372 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71502538.21400541 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2309810.4646555698 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351025898.6915903 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 74 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1132397248.6868517 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 32343929.831514042 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 159498.12265262296 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 161927223.97576568 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1076469306.7075515 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 30746496.21935754 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 291849.38931649574 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 153929803.9183588 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1099473850.8407397 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 31403560.125451177 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 286685.0691902216 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 157219340.35520896 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1687398924.679678 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59831316.007631354 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 342229.3334483019 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 290420366.8111022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5376898693.001317 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10255668.196846161 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143260798.32064098 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6397752.4923001425 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 503316665.4820859 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039965.038550436 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.012498693 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016964.425264355 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2232330901.5647836 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 110560570.41905737 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 452127.451922345 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 379774866.4037558 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5173577253.682773 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5140861.73736688 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 98580999.41412744 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3183861.967301521 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 483938265.5483638 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3761859525.140118 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3596720.116622432 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71755144.51931293 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2305959.2937583383 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351858512.2504041 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 75 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1064513681.5511427 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 30394073.302723605 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 148664.66520837 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 152467794.8497239 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1011938442.8241007 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 28892941.205905333 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 273025.2456220765 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 144937566.7632387 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1033563937.0300637 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 29510393.912336137 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 268214.339148208 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 148034935.56695092 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1620014644.2440267 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57441129.695327275 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 328565.64591141813 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 278842989.32524526 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5386881231.09561 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9966338.670969684 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143526770.66981617 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6385082.763169609 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 504195193.3391783 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039969.119281244 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.2299890886 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016965.34004715 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2090111627.781694 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 103620296.31071767 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 423371.5596447678 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 356074314.6546169 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5155485694.861708 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4943136.285929578 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 98330388.29946709 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3161130.8966576364 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 482756345.19292885 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3768843645.198762 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3458384.727521492 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71964292.69475192 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2300884.2000199095 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352483882.5802208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 76 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 991976982.2080604 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 28309219.663904417 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 137336.09209180676 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 142390342.17804492 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 942984258.3742012 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 26911056.399404194 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 253176.50736709754 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 135357829.3742685 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 963136175.5883267 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 27486155.47806711 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 248734.73213397895 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 138250475.57132682 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1546750034.3750908 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 54840325.50107381 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 313716.05413668917 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 266301392.6042562 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5393284028.178284 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9675273.335982272 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143697365.25861558 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6368558.993925916 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 504739554.7363418 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039971.299632188 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.3461873136 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31016965.828786597 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1936010623.646142 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 96183932.82855773 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 392219.44203019404 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 330679332.75940853 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5028445530.677704 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4745410.834492371 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 95947107.4343884 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3078336.882022396 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 470314296.20177686 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3773323257.809715 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3320049.338420552 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72124415.11850186 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2294428.381029825 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352875458.7933839 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 77 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 915120938.3526695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 26099052.795115884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 125587.08751906367 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 131739199.2497047 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 869924057.6441753 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 24810047.461706072 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 232418.28685894053 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 125232735.7334671 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 888514650.677197 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 25340247.182878353 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 228358.88500058462 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 127909004.84542277 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1524907522.4851992 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 54081325.15210075 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 309236.91602516355 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 262191666.3328349 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5396800859.531874 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9382808.60210255 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143791066.86916116 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6348928.120662999 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 505014513.1381394 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039972.432856914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.4065779266 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30943492.750943214 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1772221618.0130847 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88339694.5184901 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 359113.5151669221 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 303891250.44279927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4892940307.39589 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4547685.3830551645 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 93398122.97527786 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2990876.1131062503 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 457626963.66178024 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3775783751.5406184 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3181713.9493193617 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72245013.27534048 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2286859.429624693 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 353078551.59220695 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 78 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 833969741.0107397 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 23764274.52867698 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 113444.1690345289 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 120517579.08828685 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 792780836.8809965 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 22590581.562094912 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 210781.3495416409 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 114565340.17530377 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 809722849.9863663 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 23073350.453836266 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 207116.65762417944 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 117013642.99655168 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1498831365.0126457 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53170686.79106371 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 303903.96550483064 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 257387733.63100022 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5397344539.494928 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9088902.193181211 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143805552.5476135 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6326096.277082854 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 505011929.8206384 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.00402964 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.437015376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30768176.0700392 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1596911270.6467888 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 80011412.6078882 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 323684.04365498235 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 275450010.5814386 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4745453614.852734 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4349959.931618083 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90614601.16734943 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2896810.0066111563 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 443821168.87694114 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3776164128.364585 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3043378.5602184217 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72324893.12844332 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2278143.717828638 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 353087466.8511542 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 79 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 748215667.888499 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 21295957.19640652 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 100885.85291656337 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 108684610.3807503 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 711262073.2159095 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 20244171.999540195 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 188209.89956362185 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 103316790.1564868 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 726461998.6439284 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 20676797.206205856 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 184952.90597212428 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 105524707.09771858 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1467975235.6721241 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52088842.45219312 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 297607.02326272114 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 251800011.36928207 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5395425733.474155 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8793801.729831671 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143754428.34050944 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6356865.111563273 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 504779475.0623909 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.28209849 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.4518332384 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30483017.658403013 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1419289412.30163 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 71244123.31472664 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 287640.22030753305 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 245509454.76502773 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4584946894.777459 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4152234.4801808135 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 87576212.22482246 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2795566.009386547 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 428799963.11838555 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3774821667.009392 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2905043.171117482 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72371048.41153152 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2268478.212019925 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352935556.30357206 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 80 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 658200026.6734148 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 18704002.849092066 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 87984.94962739534 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 96285625.21261527 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 625692215.9800259 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 17780231.7286065 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 164817.8631983841 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 91530178.65547837 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 639063480.3578652 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 18160201.575346824 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 161979.1479757934 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 93486211.1431636 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1432421408.0672872 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 50838738.95884948 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 290362.68167114037 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 245441990.25293508 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5391415852.970098 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8497687.308732843 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143647590.0467307 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6443359.6213378655 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 504351819.88175046 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.41221944 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.458767118 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30081682.444795217 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1419299368.1417656 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 70678043.34683844 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 287642.2281326289 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 242799557.75269237 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4412581708.977833 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3954509.0287436065 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 84305693.72861783 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2687784.4859563312 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 412671777.41395336 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3772016219.47725 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2766707.782016542 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72388565.7294575 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2258006.167600514 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352647076.96230084 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 81 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 564092642.193974 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 15993338.460658954 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 74787.90858366518 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 83343179.5178122 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 536232702.2991628 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 15203444.378398975 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 140672.78632781224 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 79226947.56140792 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 547692182.3410935 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 15528347.284616336 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 138261.3794308931 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 80920055.25852577 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1392288662.9116518 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 49424630.72272545 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 282194.89560423815 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 238333147.19223043 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5426208591.480452 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8220388.198404991 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 144574599.42134327 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6286920.49899501 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 507546363.56687367 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.47041574 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.4618682647 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 29560693.01517451 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1419305436.022526 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 70669253.81502885 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 287643.4518609234 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 242763186.80144826 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4228964374.2527046 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3756783.577306525 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 80814914.33452769 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2573799.696422379 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 395493211.03649944 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3796358391.8416367 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2628372.392915602 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72937497.90630989 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2262500.5008406728 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 354892810.01429296 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 82 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 465814435.35018694 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 13161669.780807277 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 61306.3570578167 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 69846770.10331255 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 442808356.8354155 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 12511628.954931134 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 115778.54889963151 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 66397112.17433436 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 452271323.6880632 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 12779006.759148119 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 113803.05804803707 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 67816041.49425845 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1347725427.1980617 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47851834.00700174 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 273133.59879307856 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 230497820.30684918 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5458823937.889429 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7942033.275090933 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 145443594.88338095 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6298617.826261781 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 510537649.13694566 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.49514068 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3770972.463185797 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28920113.471459746 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1228003502.210417 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 61749640.68781248 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 248988.90761264748 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 212302322.70816875 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4025015460.43262 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3559058.125869318 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 76926144.1302789 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2448606.1861125175 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 376416705.17435265 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3819177187.314583 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2490037.0038146623 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73456609.96932022 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2266155.0023032343 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 356996336.8392712 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 83 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 362805145.2229807 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 10192742.466963854 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 47487.85609189832 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 55721983.77296019 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 344886592.66280514 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 9689333.99612498 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 90019.40901514987 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 52969934.925307564 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 352256934.22004855 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 9896398.284862889 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 88490.08703447496 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 54101920.37117331 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1298925979.4836922 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46127307.35688997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 263217.9719956262 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 221967866.1660411 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5488982918.022973 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7662487.264782877 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 146247143.51190382 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6307670.567194683 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 513299634.5370092 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.505056836 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3763540.2661741963 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28163194.019039962 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1167903534.0348547 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 58359160.39476563 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 236794.26987595568 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 200483634.10572463 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3804643563.160123 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3361332.674432111 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 72715893.90429048 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2314358.7486598184 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 355807124.65011436 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3840277426.162594 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2351701.6147139724 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73942081.2737713 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2268862.0701573887 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 358939437.5379796 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 84 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 281654975.8847069 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 7916757.7763378145 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 36610.65636917655 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 43170859.34905302 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 267744348.77853253 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 7525757.907144218 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 69604.99313585383 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 41038697.92199107 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 273466131.46450347 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 7686585.757629854 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 68426.50645926832 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 41915708.34129947 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1245900065.8438785 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44251399.85108841 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 252449.98073306013 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 212744882.8696085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5516409671.509145 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7381616.403349486 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 146977895.3493685 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6313781.723509311 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 515806568.3834792 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.508787554 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3729599.3960811817 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 27294859.450992845 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1106410380.2725112 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 55270452.15222276 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 224318.66408973292 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 189872246.31814024 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3566074924.310192 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3163607.222995029 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 68149442.32823347 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2170079.51808273 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 333498890.3139284 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3859466107.173065 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2213366.225613033 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74390133.81950842 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2270515.303582461 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 360704095.57465017 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 85 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 281654978.68111366 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 7916757.85746743 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 36610.656726389185 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 43170859.72046847 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 267744351.43682754 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 7525757.984266924 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 69604.9938149944 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 41038698.27506269 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 273466134.1796072 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 7686585.8364007 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 68426.50712691034 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 41915708.70191636 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1188983051.2422338 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42236123.377556406 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 240897.25909562767 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 202883861.4435431 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5540941703.05376 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7099341.897154227 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147631520.91015565 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6316776.348643923 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 518043281.8479304 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.510095514 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3670247.768099805 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 26319697.66615165 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1093114250.554275 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 54483464.18699944 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 221563.10132387496 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 187163901.75061697 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3308234169.1876545 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2965881.7715577595 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 63205738.9345491 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2015175.6444785942 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 309391616.64801115 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3876629543.162155 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2075030.836512093 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74798542.17907268 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2271052.027274505 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 362279698.3257326 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 86 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 281654979.83493215 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 7916757.890942119 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 36610.65687377781 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 43170859.87371728 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 267744352.53366008 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 7525758.016088334 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 69604.99409521291 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 41038698.4207427 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 273466135.2998795 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 7686585.868902143 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 68426.50740238445 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 41915708.85070962 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1128070586.7746263 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 40077740.433927536 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 228538.76271684744 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 192367691.4144146 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5228356776.087191 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 6653600.06577069 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 139303083.1364408 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5956822.292098657 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 488810349.81511414 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.51051951 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3586179.509936535 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 25240600.607862156 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1078894067.1756365 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 53652346.67042593 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 218621.18179615508 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 184304036.70728314 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3033440916.9940653 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2768156.3201205833 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 57930190.28614996 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1850925.9249253464 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 283701838.5733107 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3657934594.258805 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1936695.447411153 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70590020.92153028 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2141560.9372602752 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 341838076.57140094 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 87 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 281654980.28494096 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 7916757.903997817 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 36610.65693126186 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 43170859.93348691 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 267744352.9614434 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 7525758.028499222 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 69604.99420450286 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 41038698.47756036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 273466135.73680466 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 7686585.881578261 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 68426.50750982402 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 41915708.9087415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1063509532.242069 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 37788674.622901574 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 215444.44388640442 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 181253248.65896195 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4892588976.817595 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 6196616.906919522 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 130356966.47697356 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5571908.966292364 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 457413311.95918363 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.51064529 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3477671.074831341 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 24058714.891241487 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1063376726.6497651 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 52759281.492811725 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 215417.66057153928 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 181231472.0377564 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2740839805.0318537 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2570430.8686833763 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 52306052.65194672 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1676858.801282108 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 256349708.54675788 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3423020126.637951 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1798360.0583104638 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 66064002.465928964 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2003128.0894231612 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 319882373.4536448 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 88 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 173309074.93197554 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 4793004.206396925 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 22721.942590823506 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 28337270.647074226 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 164749605.67611724 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4556285.205639233 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 43199.480824745384 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 26937733.579579495 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 168270319.9087412 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 4653653.377529786 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 42468.0583382055 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 27513396.83216878 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 995588466.4310262 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 35379262.075042315 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 201672.50118138565 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 169587852.5017087 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4535282700.454512 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 5729189.784481674 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 120836983.80306189 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5163806.768881983 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 424005671.48724574 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.510679007 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3344772.2584578013 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 22774243.35447354 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1046064374.7667825 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 51780492.888894245 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 211852.13385054262 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 177864572.756973 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2429854750.694509 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2372705.4172461694 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 46322049.21068461 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1492656.6814400714 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 227281449.63739055 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3173036614.603707 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1660024.6692095238 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 61243007.355224155 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1856387.7357892555 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 296519984.9891583 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 89 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 166739951.27224234 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 4622008.088914625 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 21834.181638401446 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 27021553.770547852 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 158504833.65147504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4393731.781039868 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 41511.62696869287 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 25686986.574866403 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 161892141.1149733 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 4487627.469937654 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 40808.79295757208 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 26235927.0531482 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 924153466.2330627 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 32843989.670812912 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 187191.89245208396 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 157346263.6046947 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4158884635.522288 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 5252505.0927294865 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 110808324.0965433 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4735149.866888728 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 388815825.1576347 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.510687023 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3187491.477311441 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 21387219.577818535 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1026308219.2027391 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 50684996.82018936 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 207793.7576770259 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 174096954.00240856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2101978746.6976893 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2174979.9658089313 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 40007405.305741444 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1299142.646498443 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 196636431.72947446 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2909695843.9002094 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1521689.2801083333 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 56160543.80793379 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1702283.5772066128 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 271910705.246959 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 90 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 158537897.5978259 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 4403637.251988043 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 20737.830409753336 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 25488953.05052078 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 150707871.10718232 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 4186146.0588335614 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 39427.21986622072 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 24230079.45139741 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 153928554.57499593 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 4275605.563431852 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 38759.676985839964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 24747885.28241833 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 849754831.531567 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 30202567.69977985 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 172113.59837929276 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 144618716.66287592 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3766518051.6995263 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 4768077.298756087 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 100354203.00514978 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4289300.851792351 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 352135328.1327249 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 22039973.51068868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3005896.6382280234 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 19897928.871757504 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 958576434.2604299 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 47298353.504383385 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 194059.98783067448 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 162462594.92505807 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1825196281.5015593 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1977254.5143717555 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 34692917.798202924 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1133796.2815245376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 170760961.93435454 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2635182959.247655 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1383353.8910073934 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 50859386.04800976 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1542020.275492655 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 246258516.04394633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 91 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 147440722.14419603 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 4101272.869218111 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 19271.656686445935 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 23571825.661725063 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 140158773.9145978 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 3898715.1468987754 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 36639.6980909378 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 22407637.041672572 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 143154019.24542522 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 3982032.1457885234 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 36019.35078772215 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 22886496.600376435 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 772417473.3137438 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 27455888.407764003 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 156442.64283890722 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 131409296.4224051 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3358139014.2795315 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 4275885.098711867 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 89473449.94310042 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 3826212.42237152 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 313960079.13665426 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 21616064.31026758 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2800163.45730113 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 18307110.28303266 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 885521416.5265509 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 43657491.321328774 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 179252.66515056047 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 149955365.7969816 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1537034575.2113636 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1779529.0629340464 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 29155681.56264546 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 962176.5850268336 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 143823247.49618945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2349467222.444656 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1245018.5019064534 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45338932.37493411 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1375580.8847960595 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 219560547.98931557 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 92 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 133275153.03315927 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 3709887.9605486193 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 17413.52674038949 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 21247157.837143585 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 126692827.92051828 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 3526660.342703037 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 33106.980512108494 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 20197782.205640275 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 129400300.96904477 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 3602026.391787114 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 32546.44570850467 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 20629416.34417895 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 692255583.049607 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 24608041.831866864 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 140202.05517813514 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 117736727.27842444 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2937599474.168138 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 3777796.29572994 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 78268695.36586207 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 3350031.686826717 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 274649655.2432513 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 20744993.9189695 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2570602.165509125 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 16616068.667653259 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 807613635.9768293 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 39784878.261622 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 163466.67077290657 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 136652411.30969593 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1241652247.8121786 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1581803.6114968394 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 23477101.61583008 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 786576.1880896302 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 116211492.84487846 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2055243588.1542654 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1106683.1128055134 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 39651936.5460358 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1204451.12318037 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 192068373.32153285 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 93 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 115897103.75463653 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 3225302.274573007 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 15145.034978773821 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 18495812.17601728 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 110173062.90751126 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 3066007.8533925624 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 28794.07401278091 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 17582322.720158823 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 112527502.42089368 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 3131529.587054423 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 28306.56109954709 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 17958063.515705854 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 609893605.7253445 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 21681393.9435662 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 123517.7691501485 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 103703401.77097706 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2505799633.1998954 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 3274247.3958427347 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 66763924.03506605 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2861727.8253218275 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 234288089.6994177 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 19435452.826895375 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2317675.857480383 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 14826751.840318285 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 725132167.5836842 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 35693841.963963784 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 146758.28661120476 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 122599492.41239685 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 936906469.129571 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1384078.160059883 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 17615232.041349 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 605813.7567406059 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 87725666.19843093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1753141867.9164107 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 968347.7237048242 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 33810727.126836054 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1028978.2033072211 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 163840784.53202036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 94 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 95455496.66432141 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 2651836.360706448 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 12485.204724724219 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 15337568.370430645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 90741046.11959557 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 2520864.8411896005 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 23737.146157111438 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 14580061.38003297 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 92680216.1832458 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 2574736.6652112072 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 23335.25216978712 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 14891642.73162979 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 525486733.38347 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 18681503.312268794 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 106421.08281451782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 89334767.30980916 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2065840191.5747168 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 2766741.9222491016 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 55041750.2626708 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2364639.130462539 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 193164830.82159382 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 17699573.010022327 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2042031.0161271445 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 12941878.962212011 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 637118766.507361 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 31338620.026586704 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 128934.26046262337 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 107639482.17589772 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 625618867.2347624 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1186352.7086226526 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 11625306.229426714 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 421444.8436024231 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 58629164.67432985 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1445331416.0834107 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 830012.334604135 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 27857769.244719625 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 850358.0818254006 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 135080289.417262 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 95 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 71839974.59757555 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 1986288.5264903612 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 9419.938967806418 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 11757768.911605362 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 68291870.78236432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 1888187.740870514 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 17909.395388567027 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 11177064.590902863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 69751293.60445783 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 1928539.0194802121 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 17606.17114510898 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 11415922.634093802 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 439284627.746847 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 15617312.162023474 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 88962.3462236561 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 74671761.84545422 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1620312150.8250382 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 2256536.24630461 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 43171208.07166612 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1861555.1403206664 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 151521746.89213705 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 15554334.538039142 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1744572.467252551 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 10965255.806319399 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 544726469.0705403 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 26774277.407069284 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 110227.12873128224 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 91961448.20495577 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 583840875.0361608 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 988627.2571855559 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 10911033.007378284 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 385655.53401578753 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 54691207.27302494 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1133624984.6431594 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 691676.9455034458 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 21828547.533167724 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 669590.1218819298 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 105956107.1784674 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 96 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 45065750.96240928 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 1229100.1447513795 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 5951.181066860466 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 7758434.426495655 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 42839999.00450411 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 1168396.1284951672 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 11314.516483064133 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 7375253.193030405 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 43755505.81531055 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 1193365.1912994192 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 11122.950235636448 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 7532865.107310799 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 351838516.22794515 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 12508564.004040616 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 71252.72711601757 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 59804772.16322183 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1318401204.2307599 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 1815970.2062199642 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 35127165.26923535 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1513092.962206879 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 123285223.8796332 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 13024119.724164525 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1426599.4838598913 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 8902347.223530889 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 447352272.789697 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 21972016.828585204 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 90515.28203989113 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 75466513.965519 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 538808067.7096543 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 790901.8057485059 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 10133046.755288186 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 348071.85746063135 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 50449415.02850517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 922397912.117492 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 553341.5564027566 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 17766210.01058451 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 544216.0431787976 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 86211606.75336513 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 97 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 15328276.12566816 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 385941.63994819316 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 2103.897827347823 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 3365524.402889668 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 14571228.066991309 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 366880.3722854823 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 3999.976883557981 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 3199304.562694916 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 14882620.648848342 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 374720.74292145605 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 3932.2532110279667 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 3267674.891614636 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 263929798.5247588 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 9383246.513367115 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 53449.81278731691 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 44861927.24426523 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1006423156.7469636 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 1370522.6494590912 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 26814897.046808474 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1153792.2875299805 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 94108943.64584483 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 10144110.71722079 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1089986.835408177 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 6761038.650949794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 344598118.6572172 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 16912828.39358234 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 69718.44259629607 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 58089408.25871776 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 489221153.9352173 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 593176.3543113774 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 9265913.836021107 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 307977.51966661337 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 45782499.95389664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 704127556.551906 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 415006.16730206745 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 13566000.170748321 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 414959.02982650226 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 65809620.50677817 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 98 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 10667622.203703856 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 270314.2263183055 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 1459.9245609813001 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 2303288.23172741 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 10140759.126121605 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 256963.67970019422 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 2775.6407263644737 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 2189531.159143867 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 10357470.935021494 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 262455.0895930906 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 2728.6463093349016 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 2236322.255008252 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 175554338.05195782 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 6241211.52843301 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 35552.768999586864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 29842548.797480453 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 683309598.6970019 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 919675.5063503459 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 18205936.953379236 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 782502.8392901308 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 63893170.85286902 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 6964067.979202326 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 737386.133511143 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 4552482.988737792 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 237642770.21771693 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 11653005.701232422 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 48074.33529309666 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 40023417.276471466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 433377054.82459337 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 395450.90287426475 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 8276296.46782701 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 264433.61984158953 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 40531480.75942976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 478066422.5316027 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 276670.7782013783 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 9213285.78542267 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 281406.9904991956 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 44680370.235265054 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 99 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 5611342.172777842 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 143208.87073844954 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 765.4140648446638 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 1188505.466204527 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 5334203.652795828 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 136135.92919958153 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 1455.2220757578864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 1129806.3847964674 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 5448197.577639127 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 139045.20492490876 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 1430.5836880623522 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 1153950.7679644942 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 87811235.28396094 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 3121825.9276756304 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 17783.254747483927 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 14926860.368299909 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 348028436.4916669 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 462928.316818502 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 9272786.135059215 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 398113.43930979696 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 32541560.245587654 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 3552324.2002949296 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 372438.65776372 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 2291995.763336481 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 122462449.1258524 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 6000387.256243912 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 24771.472296824966 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 20608747.29080853 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 369106558.43068564 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 197725.4514371441 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 7121732.310904413 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 216244.2798442123 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 34493862.94205416 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 243492422.6003989 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 138335.38910068915 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 4693931.987347633 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 143161.8411801711 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 22756449.551545672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 100 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet
#test with one scenario
#scen='r_Perovskite'
#df_compensate = pd.DataFrame(columns=['underinstalls[W]'],dtype=float)
#for row in range (0,len(sim1.scenario['PV_ICE'].dataIn_m)): #loop over length of years
# print(row)
# Under_Installment = global_projection.iloc[row,0] - ((sim1.scenario[scen].dataOut_m['Installed_Capacity_[W]'][row])/1e6) # MWATTS
# if row==0:
# df_compensate.loc[row,'underinstalls[W]'] = Under_Installment
# else:
# if Under_Installment < 0.7*df_compensate.iloc[row-1,0]:
# Under_Installment = df_compensate.iloc[row-1,0]
# df_compensate.loc[row,'underinstalls[W]'] = Under_Installment
# sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
#calculate flows for that scenario with it's bifi factor and modified weibull
# sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
#aggregate results - mass
cc_yearly, cc_cumu = sim1.aggregateResults() #have to do this to get auto plots
cc_yearly.to_csv(os.path.join(testfolder, 'cc_13scen_yearly.csv'))
cc_cumu.to_csv(os.path.join(testfolder, 'cc_13scen_cumu.csv'))
#aggregate results - energy
allenergy, energyGen, energy_demands = sim1.aggregateEnergyResults()
allenergy.to_csv(os.path.join(testfolder, 'cc_13scen_allenergy.csv'))
energyGen.to_csv(os.path.join(testfolder, 'cc_13scen_energyGen.csv'))
energy_demands.to_csv(os.path.join(testfolder, 'cc_13scen_energy_demands.csv'))
UnderInstall_df.to_csv(os.path.join(testfolder, 'cc_13scen_underInstalls.csv'))
C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands
sim1.saveSimulation(customname='_EnergyAnalysis_withreplacements')
sim1.pickle_Sim()
:) Saved Input and Output Dataframes
sim1 = PV_ICE.Simulation.load_Simpickle(filename=r'C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\TEMP\EnergyAnalysis\sim1.pkl')
sim1.scenario['r_PERC'].dataOut_e
| mod_MFG | mod_Install | mod_OandM | mod_Repair | mod_Demount | mod_Store | mod_Resell_Certify | mod_ReMFG_Disassembly | mod_Recycle_Crush | e_out_annual_[Wh] | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 4.863319e+10 | 4.975550e+07 | 0.0 | 0.0 | 0.000000e+00 | 0.0 | 0.0 | 0.0 | 0.000000e+00 | 1.198369e+12 |
| 1 | 2.235748e+10 | 2.262480e+07 | 0.0 | 0.0 | 3.178960e-01 | 0.0 | 0.0 | 0.0 | 1.345202e+00 | 1.741612e+12 |
| 2 | 2.276802e+10 | 2.279250e+07 | 0.0 | 0.0 | 2.459434e+01 | 0.0 | 0.0 | 0.0 | 1.040729e+02 | 2.289873e+12 |
| 3 | 3.488450e+10 | 3.455050e+07 | 0.0 | 0.0 | 3.030145e+02 | 0.0 | 0.0 | 0.0 | 1.282230e+03 | 3.131165e+12 |
| 4 | 7.146432e+10 | 7.003504e+07 | 0.0 | 0.0 | 1.757212e+03 | 0.0 | 0.0 | 0.0 | 7.435783e+03 | 4.863158e+12 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 96 | 2.571924e+13 | 7.212232e+10 | 0.0 | 0.0 | 5.900069e+10 | 0.0 | 0.0 | 0.0 | 2.964784e+12 | 1.355841e+17 |
| 97 | 2.711413e+13 | 7.603390e+10 | 0.0 | 0.0 | 6.368335e+10 | 0.0 | 0.0 | 0.0 | 3.200089e+12 | 1.359336e+17 |
| 98 | 1.544954e+13 | 4.332385e+10 | 0.0 | 0.0 | 2.405578e+10 | 0.0 | 0.0 | 0.0 | 1.208803e+12 | 1.362831e+17 |
| 99 | 1.565010e+13 | 4.388628e+10 | 0.0 | 0.0 | 2.468097e+10 | 0.0 | 0.0 | 0.0 | 1.240219e+12 | 1.366325e+17 |
| 100 | 1.592520e+13 | 4.465770e+10 | 0.0 | 0.0 | 2.555811e+10 | 0.0 | 0.0 | 0.0 | 1.284295e+12 | 1.369820e+17 |
101 rows × 10 columns
#read in saved results files for speed
cc_yearly = pd.read_csv(os.path.join(testfolder, 'cc_13scen_yearly.csv'), index_col='year')
cc_cumu = pd.read_csv(os.path.join(testfolder, 'cc_13scen_cumu.csv'), index_col='year')
allenergy = pd.read_csv(os.path.join(testfolder, 'cc_13scen_allenergy.csv'), index_col='year')
energyGen = pd.read_csv(os.path.join(testfolder, 'cc_13scen_energyGen.csv'), index_col='year')
energy_demands = pd.read_csv(os.path.join(testfolder, 'cc_13scen_energy_demands.csv'), index_col='year')
plt.plot(sim1.scenario['r_PERC'].dataOut_m['EffectiveCapacity[W]'])
#sim1.scenario['PV_ICE'].dataOut_m['irradiance_stc'].head(2)
sim1.scenario.keys()
dict_keys(['PV_ICE', 'r_PERC', 'r_SHJ', 'r_TOPCon', 'r_IRENA', 'ex_Life', 'ex_High_eff', 'ex_Circular', 'h_EffLife', 'h_50PERC', 'h_RecycledPERC', 'h_Perovskite_life', 'h_Perovskite_Eff'])
UnderInstall_df_temp = cc_yearly.filter(like='newInstalledCapacity_').subtract(global_projection[['World_Annual_[MW]']].values)
#Attempt to make the deployment less dumb
UnderInstall_df_cumu = UnderInstall_df_temp.cumsum()
flatinstall = UnderInstall_df_cumu.iloc[-1,:]/(2100-2022)
flatinstall
newInstalledCapacity_sim1_PV_ICE_[MW] 1.368096e+06 newInstalledCapacity_sim1_r_PERC_[MW] 1.329047e+06 newInstalledCapacity_sim1_r_SHJ_[MW] 1.329047e+06 newInstalledCapacity_sim1_r_TOPCon_[MW] 1.329047e+06 newInstalledCapacity_sim1_r_IRENA_[MW] 2.364027e+06 newInstalledCapacity_sim1_ex_Life_[MW] 8.566408e+05 newInstalledCapacity_sim1_ex_High_eff_[MW] 2.296523e+06 newInstalledCapacity_sim1_ex_Circular_[MW] 4.174462e+06 newInstalledCapacity_sim1_h_EffLife_[MW] 1.358057e+06 newInstalledCapacity_sim1_h_50PERC_[MW] 9.478607e+05 newInstalledCapacity_sim1_h_RecycledPERC_[MW] 1.936067e+06 newInstalledCapacity_sim1_h_Perovskite_life_[MW] 2.431438e+06 newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] 4.174462e+06 Name: 2100, dtype: float64
sim1.scenario['h_RecycledPERC'].dataOut_m['WeibullParams'].tail(4)
97 {'alpha': 11.337691281946588, 'beta': 39.02126...
98 {'alpha': 11.337691281946588, 'beta': 39.02126...
99 {'alpha': 11.337691281946588, 'beta': 39.02126...
100 {'alpha': 11.337691281946588, 'beta': 39.02126...
Name: WeibullParams, dtype: object
effective_capacity = cc_yearly.filter(like='ActiveCapacity')
plt.plot(effective_capacity/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Effective Capacity [TW]')
plt.title('Effective Capacity: With Replacements')
plt.ylim(0,)
(0.0, 90.2642608744082)
annual_EoL = cc_yearly.filter(like='DecommisionedCapacity')
plt.plot(annual_EoL/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Annual EoL [TW]')
plt.title('Annual Decommissions [TW]')
plt.ylim(0,)
(0.0, 341.9988000904351)
annual_installs = cc_yearly.filter(like='newInstalled')
plt.plot(annual_installs/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Annual installed [TW]')
plt.title('Annual Installs with Replacements')
plt.ylim(0,)
(0.0, 8.641328493588126)
annual_installs = cc_yearly.filter(like='newInstalled')
posttransinstalls = annual_installs.loc[2051:,].cumsum()
flatinstallslate = posttransinstalls.loc[2100]/(2100-2050)
flatinstallslate
newInstalledCapacity_sim1_PV_ICE_[MW] 2.221055e+06 newInstalledCapacity_sim1_r_PERC_[MW] 2.159963e+06 newInstalledCapacity_sim1_r_SHJ_[MW] 2.159963e+06 newInstalledCapacity_sim1_r_TOPCon_[MW] 2.159963e+06 newInstalledCapacity_sim1_r_IRENA_[MW] 3.618366e+06 newInstalledCapacity_sim1_ex_Life_[MW] 1.324735e+06 newInstalledCapacity_sim1_ex_High_eff_[MW] 3.595318e+06 newInstalledCapacity_sim1_ex_Circular_[MW] 5.985499e+06 newInstalledCapacity_sim1_h_EffLife_[MW] 2.153960e+06 newInstalledCapacity_sim1_h_50PERC_[MW] 1.467608e+06 newInstalledCapacity_sim1_h_RecycledPERC_[MW] 2.789712e+06 newInstalledCapacity_sim1_h_Perovskite_life_[MW] 3.654927e+06 newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] 5.985499e+06 Name: 2100, dtype: float64
annual_installs_modify = annual_installs.copy()
for col in annual_installs_modify:
annual_installs_modify.loc[2051:,col] = flatinstallslate[col]
#annual_installs_modify
#plt.plot(annual_installs_modify)
#decade binning of post 2050 installs by decade
posttransinstalls_annual = annual_installs.loc[2051:,]
posttransinstalls_decades = posttransinstalls_annual.groupby(np.arange(len(posttransinstalls_annual))//10).sum()
posttransinstalls_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
posttransinstalls_decades
#this is the sum each decade, still need to divide by 10 for annual
| newInstalledCapacity_sim1_PV_ICE_[MW] | newInstalledCapacity_sim1_r_PERC_[MW] | newInstalledCapacity_sim1_r_SHJ_[MW] | newInstalledCapacity_sim1_r_TOPCon_[MW] | newInstalledCapacity_sim1_r_IRENA_[MW] | newInstalledCapacity_sim1_ex_Life_[MW] | newInstalledCapacity_sim1_ex_High_eff_[MW] | newInstalledCapacity_sim1_ex_Circular_[MW] | newInstalledCapacity_sim1_h_EffLife_[MW] | newInstalledCapacity_sim1_h_50PERC_[MW] | newInstalledCapacity_sim1_h_RecycledPERC_[MW] | newInstalledCapacity_sim1_h_Perovskite_life_[MW] | newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 8.084245e+06 | 1.169166e+07 | 1.169167e+07 | 1.169166e+07 | 2.354720e+07 | 5.336494e+06 | 2.239811e+07 | 5.009420e+07 | 1.199032e+07 | 5.860633e+06 | 1.648322e+07 | 3.184281e+07 | 5.009420e+07 |
| 2061-2070 | 2.017992e+07 | 1.655666e+07 | 1.655666e+07 | 1.655666e+07 | 3.876813e+07 | 5.341243e+06 | 3.818909e+07 | 6.028416e+07 | 2.500011e+07 | 7.692541e+06 | 3.428366e+07 | 4.637377e+07 | 6.028416e+07 |
| 2071-2080 | 3.606240e+07 | 3.546531e+07 | 3.546531e+07 | 3.546531e+07 | 3.924160e+07 | 6.876479e+06 | 3.808882e+07 | 6.584287e+07 | 2.585843e+07 | 1.247427e+07 | 3.121564e+07 | 2.544112e+07 | 6.584287e+07 |
| 2081-2090 | 2.952406e+07 | 2.832288e+07 | 2.832288e+07 | 2.832288e+07 | 3.511517e+07 | 1.730013e+07 | 3.365549e+07 | 5.837160e+07 | 2.843517e+07 | 2.018488e+07 | 2.203251e+07 | 4.455346e+07 | 5.837160e+07 |
| 2091-2100 | 1.720211e+07 | 1.596166e+07 | 1.596166e+07 | 1.596166e+07 | 4.424623e+07 | 3.138243e+07 | 4.743439e+07 | 6.468215e+07 | 1.641395e+07 | 2.716805e+07 | 3.547056e+07 | 3.453517e+07 | 6.468215e+07 |
annual_installs_decademod = annual_installs.copy()
for col in annual_installs_decademod:
annual_installs_decademod.loc[2051:2060,col] = posttransinstalls_decades.loc['2051-2060',col]/10
annual_installs_decademod.loc[2061:2070,col] = posttransinstalls_decades.loc['2061-2070',col]/10
annual_installs_decademod.loc[2071:2080,col] = posttransinstalls_decades.loc['2071-2080',col]/10
annual_installs_decademod.loc[2081:2090,col] = posttransinstalls_decades.loc['2081-2090',col]/10
annual_installs_decademod.loc[2091:2100,col] = posttransinstalls_decades.loc['2091-2100',col]/10
#plt.plot(annual_installs_decademod)
annual_installs_decademod_GW = np.round(annual_installs_decademod/1e3,2)
annual_installs_decademod_GW.to_csv(os.path.join(testfolder, 'cc_annual_installs_decademod_GW.csv'))
#annual_installs_TW = cc_yearly.filter(like='newInstalled')
annual_installs_decademod_TW = annual_installs_decademod/1e6
fig_installs_annual, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
ax1.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(annual_installs_decademod_TW.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Annual installed [TW]', fontsize=20)
ax1.set_xlim(2000,2100)
ax1.set_ylim(0,8.5)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax1.xaxis.set_minor_locator(MultipleLocator(10))
ax1.grid(axis='both', which='both', color='0.9', ls='--')
#Extreme
ax2.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
ax2.set_prop_cycle(color=colorpalette[5:8])
#ax2.plot(annual_installs_TW.iloc[:,4:7], label=scennames_labels_flat[4:7], ls='--')
ax2.plot(annual_installs_decademod_TW.iloc[:,5:8], label=scennames_labels_flat[5:8]) #, color=colorpalette[4:7])
ax2.xaxis.set_minor_locator(MultipleLocator(10))
ax2.grid(axis='both', which='both', color='0.9', ls='--')
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
ax3.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(annual_installs_decademod_TW.iloc[:,8], label=scennames_labels_flat[8], ls=(0, (3, 1, 1, 1, 1, 1)))#
ax3.plot(annual_installs_decademod_TW.iloc[:,9], label=scennames_labels_flat[9], ls=(5, (10, 3)))#
ax3.plot(annual_installs_decademod_TW.iloc[:,10], label=scennames_labels_flat[10], ls='--')#
ax3.plot(annual_installs_decademod_TW.iloc[:,11], label=scennames_labels_flat[11], ls='-.')#
ax3.plot(annual_installs_decademod_TW.iloc[:,12], label=scennames_labels_flat[12], ls=':')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
ax3.xaxis.set_minor_locator(MultipleLocator(10))
ax3.grid(axis='both', which='both', color='0.9', ls='--')
#overall figure
fig_installs_annual.suptitle('Annual Installs with Replacements Decade Average Post 2050', fontsize=20, y=1)
plt.show()
fig_installs_annual.savefig('energyresults-annualInstalls-decade.png', dpi=300, bbox_inches='tight')
cumu_installs_annually = cc_cumu.filter(like='newInstalled')
plt.plot(cumu_installs_annually/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Cumulative installed [TW]')
plt.title('Replacements Adjusted Deployment Curve \n Cumulative Installs with Replacements')
plt.ylim(0,)
(0.0, 421.4995979154807)
cumu_installs = cc_cumu.filter(like='newInstalled')
plt.bar(scennames_labels, cumu_installs.loc[2100]/1e6, tick_label=scennames_labels, color=colorpalette)
#plt.legend(scennames)
plt.xticks(rotation=90)
plt.ylabel('Cumulative installed [TW]')
plt.title('Cumulative Installs with Replacements')
plt.ylim(0,410)
(0.0, 410.0)
total_deploy = cumu_installs.iloc[-1,]/1e6
total_deploy.index = scennames_labels_flat
cumu_installs = cc_cumu.filter(like='newInstalled')
fig_installs_cumu, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_installs.iloc[-1,0:5]/1e6,# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,410)
ax0.set_ylabel('Cumulative installed [TW]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_installs.iloc[-1,5:8]/1e6, #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_installs.iloc[-1,8:]/1e6, #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_installs_cumu.suptitle('Cumulative Installs with Replacements', fontsize=24)
plt.show()
fig_installs_cumu.savefig('energyresults-cumulativedeploy.png', dpi=300, bbox_inches='tight')
cumulative_nameplate_installs = global_projection.loc[2100,'World_Cumu_[MW]'] #MW
print('The nameplate installations for energy transition and through 2100 are '+str(cumulative_nameplate_installs/1e6)+' TW.')
The nameplate installations for energy transition and through 2100 are 85.966 TW.
global_projection['World_Annual_[MW]'].sum()
85965999.99955177
Additional_installs = cumu_installs.loc[2100]-global_projection.loc[2100,'World_cum'] plt.bar(scennames_labels, Additional_installs/1e6, tick_label=scennames_labels, color=colorpalette)
plt.ylabel('Cumulative Replacements [TW]') plt.title('Replacements Required by Technology') plt.xticks(rotation=90) plt.ylim(0,410)
cumu_virgin_module = cc_cumu.filter(like='VirginStock_Module') plt.bar(scennames_labels, cumu_virgin_module.loc[2100]/1e9, tick_label=scennames_labels, color=colorpalette)
plt.title('Cumulative Virgin Material Demands') plt.ylabel('Virgin Material Requirements\n[billion tonnes]') plt.xticks(rotation=90)
cumu_virgin_module_bt = cc_cumu.filter(like='VirginStock_Module')/1e9
fig_vmat_cumu, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_virgin_module_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,12.5)
ax0.set_ylabel('Cumulative Virgin Material Demand\n[billion metric tonnes]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_virgin_module_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_virgin_module_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_vmat_cumu.suptitle('Cumulative Virgin Material Demands', fontsize=24)
plt.show()
fig_vmat_cumu.savefig('energyresults-cumuMatDemand.png', dpi=300, bbox_inches='tight')
virgin = cumu_virgin_module_bt.iloc[-1,:]
virgin.index=scennames_labels_flat
recycledperc_virginstock = cc_cumu.filter(like='VirginStock').filter(like='Recycled')
recycledperc_virginstock.drop('VirginStock_Module_sim1_h_RecycledPERC_[Tonnes]',axis=1, inplace=True)
plt.bar(recycledperc_virginstock.columns, recycledperc_virginstock.loc[2100]/1e6, tick_label = MATERIALS, color=colormats)
plt.ylabel('Million Metric tonnes')
Text(0, 0.5, 'Million Metric tonnes')
cumu_virgin_module = cc_cumu.filter(like='VirginStock_Module') plt.plot(cumu_virgin_module/1e9) plt.legend(scennames_labels_flat) plt.title('Cumulative Virgin Material Extraction: Module') plt.ylabel('Virgin Material Requirements\n[billion tonnes]') plt.ylim(0,)
annual_virgin_module = cc_yearly.filter(like='VirginStock_Module')
plt.plot(annual_virgin_module/1e6)
plt.legend(scennames_labels)
plt.title('Annual Virgin Material Extraction: Module')
plt.ylabel('Virgin Material Requirements\n[million tonnes]')
plt.ylim(0,)
(0.0, 457.5520683054622)
annual_virgin_module_mt = annual_virgin_module/1e6
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True, gridspec_kw={'wspace':0})
ax1.set_prop_cycle(color=colorpalette[0:5]) ax1.plot(annual_virgin_module_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines ax1.set_title('Business as Usual', fontsize=14) ax1.set_ylabel('Annual Material Demands\n[million metric tonnes]', fontsize=20) ax1.set_xlim(2000,2100) ax1.set_ylim(0,8.5) ax1.legend(bbox_to_anchor=(0.9,-0.05)) ax1.set_ylim(0,450)
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(annual_virgin_module_mt.iloc[:,5:8], label=scennames_labels_flat[5:8])
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14) ax2.legend(bbox_to_anchor=(0.9,-0.05))
ax3.set_prop_cycle(color=colorpalette[8:]) ax3.plot(annual_virgin_module_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')# ax3.set_title('Ambitious', fontsize=14) ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
fig.suptitle('Annual Material Demands', fontsize=24, y=1) plt.show() fig.savefig('energyresults-annualMatDemands.png', dpi=300, bbox_inches='tight')
#do it by decade to match up with annual installs graphs
annual_virgin_module = cc_yearly.filter(like='VirginStock_Module')
virgin_module_annual = annual_virgin_module.loc[2051:,]
virgin_module_decades = virgin_module_annual.groupby(np.arange(len(virgin_module_annual))//10).sum()
virgin_module_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
virgin_module_decades
#this is the sum each decade, still need to divide by 10 for annual
| VirginStock_Module_sim1_PV_ICE_[Tonnes] | VirginStock_Module_sim1_r_PERC_[Tonnes] | VirginStock_Module_sim1_r_SHJ_[Tonnes] | VirginStock_Module_sim1_r_TOPCon_[Tonnes] | VirginStock_Module_sim1_r_IRENA_[Tonnes] | VirginStock_Module_sim1_ex_Life_[Tonnes] | VirginStock_Module_sim1_ex_High_eff_[Tonnes] | VirginStock_Module_sim1_ex_Circular_[Tonnes] | VirginStock_Module_sim1_h_EffLife_[Tonnes] | VirginStock_Module_sim1_h_50PERC_[Tonnes] | VirginStock_Module_sim1_h_RecycledPERC_[Tonnes] | VirginStock_Module_sim1_h_Perovskite_life_[Tonnes] | VirginStock_Module_sim1_h_Perovskite_Eff_[Tonnes] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 4.220275e+08 | 4.839221e+08 | 4.598659e+08 | 4.696811e+08 | 8.512090e+08 | 3.207434e+08 | 1.042054e+09 | 6.313944e+08 | 5.578403e+08 | 3.495455e+08 | 5.105496e+08 | 4.902461e+08 | 2.082044e+08 |
| 2061-2070 | 1.052121e+09 | 6.044583e+08 | 5.746617e+08 | 5.869387e+08 | 1.241424e+09 | 3.210288e+08 | 1.776717e+09 | 5.434961e+08 | 1.163110e+09 | 4.448512e+08 | 7.617865e+08 | 4.438205e+08 | 3.838557e+08 |
| 2071-2080 | 1.879663e+09 | 1.070382e+09 | 1.017616e+09 | 1.039357e+09 | 1.279354e+09 | 4.133023e+08 | 1.772052e+09 | 5.114741e+08 | 1.203043e+09 | 6.940257e+08 | 7.084091e+08 | 5.156364e+08 | 4.081377e+08 |
| 2081-2090 | 1.539121e+09 | 9.026544e+08 | 8.581590e+08 | 8.764918e+08 | 1.192064e+09 | 1.039803e+09 | 1.565795e+09 | 6.228530e+08 | 1.322924e+09 | 1.096209e+09 | 5.941487e+08 | 4.032937e+08 | 4.803577e+08 |
| 2091-2100 | 8.971855e+08 | 5.981208e+08 | 5.686381e+08 | 5.807857e+08 | 1.423912e+09 | 1.886202e+09 | 2.206847e+09 | 5.808271e+08 | 7.636461e+08 | 1.459864e+09 | 7.633263e+08 | 4.817317e+08 | 4.557869e+08 |
annual_virgin_module_decademod = annual_virgin_module.copy()
for col in annual_virgin_module_decademod:
annual_virgin_module_decademod.loc[2051:2060,col] = virgin_module_decades.loc['2051-2060',col]/10
annual_virgin_module_decademod.loc[2061:2070,col] = virgin_module_decades.loc['2061-2070',col]/10
annual_virgin_module_decademod.loc[2071:2080,col] = virgin_module_decades.loc['2071-2080',col]/10
annual_virgin_module_decademod.loc[2081:2090,col] = virgin_module_decades.loc['2081-2090',col]/10
annual_virgin_module_decademod.loc[2091:2100,col] = virgin_module_decades.loc['2091-2100',col]/10
#plt.plot(annual_virgin_module_decademod)
annual_virgin_module_decademod_mt = annual_virgin_module_decademod/1e6
fig_vmat_annual, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(annual_virgin_module_decademod_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Annual Material Demands\n[million metric tonnes]', fontsize=20)
ax1.set_xlim(2000,2100)
ax1.set_ylim(0,8.5)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax1.set_ylim(0,450)
ax1.xaxis.set_minor_locator(MultipleLocator(10))
ax1.grid(axis='both', which='both', color='0.9', ls='--')
#Extreme
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,5:8], label=scennames_labels_flat[5:8])
ax2.xaxis.set_minor_locator(MultipleLocator(10))
ax2.grid(axis='both', which='both', color='0.9', ls='--')
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,8], label=scennames_labels_flat[8], ls=(0, (3, 1, 1, 1, 1, 1)))#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,9], label=scennames_labels_flat[9], ls=(5, (10, 3)))#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,10], label=scennames_labels_flat[10], ls='--')#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,11], label=scennames_labels_flat[11], ls='-.')#
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,12], label=scennames_labels_flat[12], ls=':')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
ax3.xaxis.set_minor_locator(MultipleLocator(10))
ax3.grid(axis='both', which='both', color='0.9', ls='--')
#overall figure
fig_vmat_annual.suptitle('Annual Material Demands Decade Average Post 2050', fontsize=24, y=1)
plt.show()
fig_vmat_annual.savefig('energyresults-annualMatDemands-decade.png', dpi=300, bbox_inches='tight')
plt.fig_effectiveCap fig_installs_annual fig_vmat_annual
#print out masses for stacked bar charts
#mass_cumu = cc_cumu.loc[[2100]].filter(like='PV_ICE_[Tonnes]')
mass_cumu_virgin = cc_cumu.filter(like='VirginStock').loc[2100]
mass_cumu_wasteall = cc_cumu.filter(like='WasteAll').loc[2100]
mass_cumu = pd.concat([mass_cumu_virgin,mass_cumu_wasteall])
mass_cumu.to_csv(os.path.join(testfolder, 'cc_cumu_mass_2100results.csv'))
cc_cumu.to_csv(os.path.join(testfolder, 'cc_cumu_mass_results.csv'))
cumu_lifecycle_wastes = cc_cumu.filter(like='WasteAll_Module')
plt.bar(scennames_labels, cumu_lifecycle_wastes.loc[2100]/1e9, tick_label=scennames_labels, color=colorpalette)
plt.title('Cumulative Lifecycle Wastes') plt.ylabel('Lifecycle Wastes\n[billion tonnes]') plt.xticks(rotation=90)
cumu_lifecycle_wastes_bt = cc_cumu.filter(like='WasteAll_Module')/1e9
fig_wastes, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_lifecycle_wastes_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,9)
ax0.set_ylabel('Lifecycle Wastes\n[billion tonnes]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_lifecycle_wastes_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_lifecycle_wastes_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_wastes.suptitle('Cumulative Lifecycle Wastes', fontsize=24)
plt.show()
fig_wastes.savefig('energyresults-cumuWaste.png', dpi=300, bbox_inches='tight')
wastes = cumu_lifecycle_wastes_bt.iloc[-1,:]
wastes.index=scennames_labels_flat
annual_waste_module = cc_yearly.filter(like='WasteAll_Module')
plt.plot(annual_waste_module/1e6)
plt.legend(scennames_labels_flat)
plt.title('Annual Waste: Module')
plt.ylabel('Lifecycle Wastes\n[million tonnes]')
plt.ylim(0,)
(0.0, 285.9909035105216)
#do it by decade to match up with annual installs graphs
waste_module_annual = annual_waste_module.loc[2051:,]
waste_module_decades = waste_module_annual.groupby(np.arange(len(waste_module_annual))//10).sum()
waste_module_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
waste_module_decades
#this is the sum each decade, still need to divide by 10 for annual
| WasteAll_Module_sim1_PV_ICE_[Tonnes] | WasteAll_Module_sim1_r_PERC_[Tonnes] | WasteAll_Module_sim1_r_SHJ_[Tonnes] | WasteAll_Module_sim1_r_TOPCon_[Tonnes] | WasteAll_Module_sim1_r_IRENA_[Tonnes] | WasteAll_Module_sim1_ex_Life_[Tonnes] | WasteAll_Module_sim1_ex_High_eff_[Tonnes] | WasteAll_Module_sim1_ex_Circular_[Tonnes] | WasteAll_Module_sim1_h_EffLife_[Tonnes] | WasteAll_Module_sim1_h_50PERC_[Tonnes] | WasteAll_Module_sim1_h_RecycledPERC_[Tonnes] | WasteAll_Module_sim1_h_Perovskite_life_[Tonnes] | WasteAll_Module_sim1_h_Perovskite_Eff_[Tonnes] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 1.486041e+08 | 1.496903e+08 | 1.424777e+08 | 1.455273e+08 | 4.585761e+08 | 1.970195e+07 | 8.233827e+08 | 1.786120e+08 | 3.607979e+08 | 2.426518e+07 | 1.122939e+08 | 2.057279e+08 | 2.570542e+08 |
| 2061-2070 | 9.108933e+08 | 2.760397e+08 | 2.624269e+08 | 2.680331e+08 | 8.905605e+08 | 1.377886e+07 | 1.692441e+09 | 2.258881e+08 | 1.103942e+09 | 1.322163e+08 | 3.057050e+08 | 3.239871e+08 | 2.964263e+08 |
| 2071-2080 | 1.839154e+09 | 7.715851e+08 | 7.335337e+08 | 7.492048e+08 | 8.818120e+08 | 1.242771e+08 | 1.678985e+09 | 2.510558e+08 | 1.109874e+09 | 4.118560e+08 | 2.747754e+08 | 1.526176e+08 | 3.248582e+08 |
| 2081-2090 | 1.406897e+09 | 5.777745e+08 | 5.492803e+08 | 5.610154e+08 | 7.483706e+08 | 8.974020e+08 | 1.422095e+09 | 2.136201e+08 | 1.242594e+09 | 8.610871e+08 | 1.712102e+08 | 3.134026e+08 | 2.770534e+08 |
| 2091-2100 | 6.548639e+08 | 2.537908e+08 | 2.412744e+08 | 2.464292e+08 | 1.010307e+09 | 1.936591e+09 | 2.181817e+09 | 2.424898e+08 | 5.741778e+08 | 1.271646e+09 | 3.222844e+08 | 2.273176e+08 | 3.140682e+08 |
annual_waste_module_decademod = annual_waste_module.copy()
for col in annual_waste_module_decademod:
annual_waste_module_decademod.loc[2051:2060,col] = waste_module_decades.loc['2051-2060',col]/10
annual_waste_module_decademod.loc[2061:2070,col] = waste_module_decades.loc['2061-2070',col]/10
annual_waste_module_decademod.loc[2071:2080,col] = waste_module_decades.loc['2071-2080',col]/10
annual_waste_module_decademod.loc[2081:2090,col] = waste_module_decades.loc['2081-2090',col]/10
annual_waste_module_decademod.loc[2091:2100,col] = waste_module_decades.loc['2091-2100',col]/10
#plt.plot(annual_virgin_module_decademod)
annual_waste_module_decademod_mt = annual_waste_module_decademod/1e6
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True, gridspec_kw={'wspace':0})
ax1.set_prop_cycle(color=colorpalette[0:5]) ax1.plot(annual_waste_module_decademod_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines ax1.set_title('Business as Usual', fontsize=14) ax1.set_ylabel('Lifecycle Wastes\n[million tonnes]', fontsize=20) ax1.set_xlim(2000,2100) ax1.set_ylim(0,225) ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax2.set_prop_cycle(color=colorpalette[5:8]) ax2.plot(annual_waste_module_decademod_mt.iloc[:,5:8], label=scennames_labels_flat[5:8]) #,
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14) ax2.legend(bbox_to_anchor=(0.9,-0.05))
ax3.set_prop_cycle(color=colorpalette[8:]) ax3.plot(annual_waste_module_decademod_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')# ax3.set_title('Ambitious', fontsize=14) ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
fig.suptitle('Annual Lifecycle Wastes', fontsize=24, y=1) plt.show() fig.savefig('energyresults-annualwaste.png', dpi=300, bbox_inches='tight')
sim1.scenario['r_IRENA'].dataOut_m.loc[45:,]
| Area | Cumulative_Active_Area | EOL_BadStatus | EOL_Landfill0 | EOL_PATHS | EOL_PG | Effective_Capacity_[W] | Landfill_0_ProjLife | MerchantTail_Area | MerchantTail_[W] | ... | Yearly_Sum_Area_PathsBad | Yearly_Sum_Area_PathsGood | Yearly_Sum_Area_atEOL | Yearly_Sum_Power_EOLby_Degradation | Yearly_Sum_Power_EOLby_Failure | Yearly_Sum_Power_EOLby_ProjectLifetime | Yearly_Sum_Power_PathsBad | Yearly_Sum_Power_PathsGood | Yearly_Sum_Power_atEOL | irradiance_stc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 45 | 2.156352e+10 | 2.639097e+11 | 6.331016e+08 | 3.599990e+08 | 6.331016e+08 | 0.000000e+00 | 5.204818e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 9.931006e+08 | 0.000000e+00 | 9.931006e+08 | 0.000000e+00 | 1.690801e+11 | 0.000000e+00 | 1.690801e+11 | 0.000000e+00 | 1.690801e+11 | 1000.0 |
| 46 | 2.277744e+10 | 2.852119e+11 | 7.918401e+08 | 5.015907e+08 | 9.736761e+08 | 1.818361e+08 | 5.629956e+13 | 9.367313e+07 | 0.0 | 0.0 | ... | 1.199758e+09 | 1.818361e+08 | 1.475267e+09 | 0.000000e+00 | 2.048438e+11 | 3.920075e+10 | 2.048438e+11 | 2.587249e+10 | 2.440445e+11 | 1000.0 |
| 47 | 2.368685e+10 | 3.074125e+11 | 1.014382e+09 | 4.718918e+08 | 1.014382e+09 | 0.000000e+00 | 6.072043e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.486274e+09 | 0.000000e+00 | 1.486274e+09 | 0.000000e+00 | 2.530263e+11 | 0.000000e+00 | 2.530263e+11 | 0.000000e+00 | 2.530263e+11 | 1000.0 |
| 48 | 2.541251e+10 | 3.302016e+11 | 1.849495e+09 | 7.739023e+08 | 1.849495e+09 | 0.000000e+00 | 6.531079e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.623398e+09 | 0.000000e+00 | 2.623398e+09 | 1.458332e+11 | 2.944727e+11 | 0.000000e+00 | 4.403059e+11 | 0.000000e+00 | 2.944727e+11 | 1000.0 |
| 49 | 2.687649e+10 | 3.535782e+11 | 2.546148e+09 | 9.537117e+08 | 2.546148e+09 | 0.000000e+00 | 7.007065e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 3.499859e+09 | 0.000000e+00 | 3.499859e+09 | 2.352396e+11 | 3.360730e+11 | 0.000000e+00 | 5.713126e+11 | 0.000000e+00 | 3.360730e+11 | 1000.0 |
| 50 | 2.839800e+10 | 3.776024e+11 | 3.280368e+09 | 1.093456e+09 | 3.280368e+09 | 0.000000e+00 | 7.500000e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 4.373824e+09 | 0.000000e+00 | 4.373824e+09 | 3.392698e+11 | 3.764483e+11 | 0.000000e+00 | 7.157180e+11 | 0.000000e+00 | 3.764483e+11 | 1000.0 |
| 51 | 7.818817e+09 | 3.802168e+11 | 3.903329e+09 | 1.301110e+09 | 3.903329e+09 | 0.000000e+00 | 7.521932e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 5.204439e+09 | 0.000000e+00 | 5.204439e+09 | 4.393412e+11 | 4.165337e+11 | 0.000000e+00 | 8.558749e+11 | 0.000000e+00 | 4.165337e+11 | 1000.0 |
| 52 | 8.259984e+09 | 3.827135e+11 | 4.322424e+09 | 1.440808e+09 | 4.322424e+09 | 0.000000e+00 | 7.543864e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 5.763232e+09 | 0.000000e+00 | 5.763232e+09 | 4.861187e+11 | 4.648717e+11 | 0.000000e+00 | 9.509904e+11 | 0.000000e+00 | 4.648717e+11 | 1000.0 |
| 53 | 8.930657e+09 | 3.850321e+11 | 4.959089e+09 | 1.653030e+09 | 4.959089e+09 | 0.000000e+00 | 7.565796e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 6.612119e+09 | 0.000000e+00 | 6.612119e+09 | 5.828217e+11 | 5.138304e+11 | 0.000000e+00 | 1.096652e+12 | 0.000000e+00 | 5.138304e+11 | 1000.0 |
| 54 | 9.615337e+09 | 3.871796e+11 | 5.600874e+09 | 1.866958e+09 | 5.600874e+09 | 0.000000e+00 | 7.587728e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 7.467832e+09 | 0.000000e+00 | 7.467832e+09 | 6.820958e+11 | 5.632999e+11 | 0.000000e+00 | 1.245396e+12 | 0.000000e+00 | 5.632999e+11 | 1000.0 |
| 55 | 1.030867e+10 | 3.891646e+11 | 6.242734e+09 | 2.080911e+09 | 6.242734e+09 | 0.000000e+00 | 7.609660e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 8.323645e+09 | 0.000000e+00 | 8.323645e+09 | 7.828031e+11 | 6.132403e+11 | 0.000000e+00 | 1.396043e+12 | 0.000000e+00 | 6.132403e+11 | 1000.0 |
| 56 | 1.100487e+10 | 3.909969e+11 | 6.879433e+09 | 2.293144e+09 | 6.879433e+09 | 0.000000e+00 | 7.631592e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 9.172577e+09 | 0.000000e+00 | 9.172577e+09 | 8.836305e+11 | 6.636891e+11 | 0.000000e+00 | 1.547320e+12 | 0.000000e+00 | 6.636891e+11 | 1000.0 |
| 57 | 1.169021e+10 | 3.926599e+11 | 7.520413e+09 | 2.506804e+09 | 7.520413e+09 | 0.000000e+00 | 7.653524e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.002722e+10 | 0.000000e+00 | 1.002722e+10 | 9.812925e+11 | 7.149172e+11 | 0.000000e+00 | 1.696210e+12 | 0.000000e+00 | 7.149172e+11 | 1000.0 |
| 58 | 1.242590e+10 | 3.941427e+11 | 8.207297e+09 | 2.735766e+09 | 8.207297e+09 | 0.000000e+00 | 7.675456e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.094306e+10 | 0.000000e+00 | 1.094306e+10 | 1.090245e+12 | 7.659296e+11 | 0.000000e+00 | 1.856174e+12 | 0.000000e+00 | 7.659296e+11 | 1000.0 |
| 59 | 1.310634e+10 | 3.954696e+11 | 8.834563e+09 | 2.944854e+09 | 8.834563e+09 | 0.000000e+00 | 7.697388e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.177942e+10 | 0.000000e+00 | 1.177942e+10 | 1.186378e+12 | 8.176080e+11 | 0.000000e+00 | 2.003986e+12 | 0.000000e+00 | 8.176080e+11 | 1000.0 |
| 60 | 1.387192e+10 | 3.966181e+11 | 9.542593e+09 | 3.180864e+09 | 9.542593e+09 | 0.000000e+00 | 7.719320e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.272346e+10 | 0.000000e+00 | 1.272346e+10 | 1.302488e+12 | 8.680401e+11 | 0.000000e+00 | 2.170528e+12 | 0.000000e+00 | 8.680401e+11 | 1000.0 |
| 61 | 1.458040e+10 | 3.976117e+11 | 1.019008e+10 | 3.396694e+09 | 1.019008e+10 | 0.000000e+00 | 7.741252e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.358678e+10 | 0.000000e+00 | 1.358678e+10 | 1.406767e+12 | 9.177397e+11 | 0.000000e+00 | 2.324506e+12 | 0.000000e+00 | 9.177397e+11 | 1000.0 |
| 62 | 1.524655e+10 | 3.984680e+11 | 1.079269e+10 | 3.597562e+09 | 1.079269e+10 | 0.000000e+00 | 7.763184e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.439025e+10 | 0.000000e+00 | 1.439025e+10 | 1.502284e+12 | 9.668899e+11 | 0.000000e+00 | 2.469174e+12 | 0.000000e+00 | 9.668899e+11 | 1000.0 |
| 63 | 1.601268e+10 | 3.991591e+11 | 1.149119e+10 | 3.830397e+09 | 1.149119e+10 | 0.000000e+00 | 7.785116e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.532159e+10 | 0.000000e+00 | 1.532159e+10 | 1.623168e+12 | 1.012667e+12 | 0.000000e+00 | 2.635835e+12 | 0.000000e+00 | 1.012667e+12 | 1000.0 |
| 64 | 1.666028e+10 | 3.997246e+11 | 1.207114e+10 | 4.023712e+09 | 1.207114e+10 | 0.000000e+00 | 7.807048e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.609485e+10 | 0.000000e+00 | 1.609485e+10 | 1.720399e+12 | 1.056022e+12 | 0.000000e+00 | 2.776422e+12 | 0.000000e+00 | 1.056022e+12 | 1000.0 |
| 65 | 1.735453e+10 | 4.001519e+11 | 1.269542e+10 | 4.231808e+09 | 1.269542e+10 | 0.000000e+00 | 7.828980e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.692723e+10 | 0.000000e+00 | 1.692723e+10 | 1.832690e+12 | 1.094580e+12 | 0.000000e+00 | 2.927270e+12 | 0.000000e+00 | 1.094580e+12 | 1000.0 |
| 66 | 1.807644e+10 | 4.004342e+11 | 1.334557e+10 | 4.448524e+09 | 1.334557e+10 | 0.000000e+00 | 7.850912e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.779410e+10 | 0.000000e+00 | 1.779410e+10 | 1.958430e+12 | 1.125775e+12 | 0.000000e+00 | 3.084204e+12 | 0.000000e+00 | 1.125775e+12 | 1000.0 |
| 67 | 1.866982e+10 | 4.006103e+11 | 1.387031e+10 | 4.623438e+09 | 1.387031e+10 | 0.000000e+00 | 7.872844e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.849375e+10 | 0.000000e+00 | 1.849375e+10 | 2.063218e+12 | 1.149644e+12 | 0.000000e+00 | 3.212862e+12 | 0.000000e+00 | 1.149644e+12 | 1000.0 |
| 68 | 1.928448e+10 | 4.006737e+11 | 1.441580e+10 | 4.805267e+09 | 1.441580e+10 | 0.000000e+00 | 7.894776e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.922107e+10 | 0.000000e+00 | 1.922107e+10 | 2.183076e+12 | 1.163125e+12 | 0.000000e+00 | 3.346201e+12 | 0.000000e+00 | 1.163125e+12 | 1000.0 |
| 69 | 1.990126e+10 | 4.006238e+11 | 1.496336e+10 | 4.987787e+09 | 1.496336e+10 | 0.000000e+00 | 7.916708e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.995115e+10 | 0.000000e+00 | 1.995115e+10 | 2.317031e+12 | 1.162976e+12 | 0.000000e+00 | 3.480007e+12 | 0.000000e+00 | 1.162976e+12 | 1000.0 |
| 70 | 2.043235e+10 | 4.004848e+11 | 1.542847e+10 | 5.142823e+09 | 1.542847e+10 | 0.000000e+00 | 7.938640e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.057129e+10 | 0.000000e+00 | 2.057129e+10 | 2.447716e+12 | 1.147244e+12 | 0.000000e+00 | 3.594960e+12 | 0.000000e+00 | 1.147244e+12 | 1000.0 |
| 71 | 2.080451e+10 | 4.003008e+11 | 1.574139e+10 | 5.247132e+09 | 1.574139e+10 | 0.000000e+00 | 7.960572e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.098853e+10 | 0.000000e+00 | 2.098853e+10 | 2.559618e+12 | 1.115331e+12 | 0.000000e+00 | 3.674949e+12 | 0.000000e+00 | 1.115331e+12 | 1000.0 |
| 72 | 2.126737e+10 | 4.000476e+11 | 1.614042e+10 | 5.380139e+09 | 1.614042e+10 | 0.000000e+00 | 7.982504e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.152056e+10 | 0.000000e+00 | 2.152056e+10 | 2.713089e+12 | 1.061802e+12 | 0.000000e+00 | 3.774891e+12 | 0.000000e+00 | 1.061802e+12 | 1000.0 |
| 73 | 2.147611e+10 | 3.997955e+11 | 1.629615e+10 | 5.432049e+09 | 1.629615e+10 | 0.000000e+00 | 8.004436e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.172820e+10 | 0.000000e+00 | 2.172820e+10 | 2.831163e+12 | 9.877644e+11 | 0.000000e+00 | 3.818928e+12 | 0.000000e+00 | 9.877644e+11 | 1000.0 |
| 74 | 2.199703e+10 | 3.994662e+11 | 1.674481e+10 | 5.581602e+09 | 1.674481e+10 | 0.000000e+00 | 8.026368e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.232641e+10 | 0.000000e+00 | 2.232641e+10 | 3.047884e+12 | 8.837619e+11 | 0.000000e+00 | 3.931646e+12 | 0.000000e+00 | 8.837619e+11 | 1000.0 |
| 75 | 2.225212e+10 | 3.991362e+11 | 1.693655e+10 | 5.645518e+09 | 1.693655e+10 | 0.000000e+00 | 8.048300e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.258207e+10 | 0.000000e+00 | 2.258207e+10 | 3.234533e+12 | 7.513470e+11 | 0.000000e+00 | 3.985880e+12 | 0.000000e+00 | 7.513470e+11 | 1000.0 |
| 76 | 2.241326e+10 | 3.988387e+11 | 1.703306e+10 | 5.677686e+09 | 1.703306e+10 | 0.000000e+00 | 8.070232e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.271074e+10 | 0.000000e+00 | 2.271074e+10 | 3.429335e+12 | 5.901092e+11 | 0.000000e+00 | 4.019444e+12 | 0.000000e+00 | 5.901092e+11 | 1000.0 |
| 77 | 1.129572e+10 | 4.013604e+11 | 6.580585e+09 | 2.193528e+09 | 6.580585e+09 | 0.000000e+00 | 8.092164e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 8.774113e+09 | 0.000000e+00 | 8.774113e+09 | 9.441983e+11 | 6.275008e+11 | 0.000000e+00 | 1.571699e+12 | 0.000000e+00 | 6.275008e+11 | 1000.0 |
| 78 | 1.172716e+10 | 4.037934e+11 | 6.970620e+09 | 2.323540e+09 | 6.970620e+09 | 0.000000e+00 | 8.114096e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 9.294160e+09 | 0.000000e+00 | 9.294160e+09 | 9.974735e+11 | 6.672551e+11 | 0.000000e+00 | 1.664729e+12 | 0.000000e+00 | 6.672551e+11 | 1000.0 |
| 79 | 1.228559e+10 | 4.061057e+11 | 7.479901e+09 | 2.493300e+09 | 7.479901e+09 | 0.000000e+00 | 8.136028e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 9.973202e+09 | 0.000000e+00 | 9.973202e+09 | 1.078464e+12 | 7.072335e+11 | 0.000000e+00 | 1.785697e+12 | 0.000000e+00 | 7.072335e+11 | 1000.0 |
| 80 | 1.285203e+10 | 4.082954e+11 | 7.996750e+09 | 2.665583e+09 | 7.996750e+09 | 0.000000e+00 | 8.157960e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.066233e+10 | 0.000000e+00 | 1.066233e+10 | 1.161146e+12 | 7.472817e+11 | 0.000000e+00 | 1.908427e+12 | 0.000000e+00 | 7.472817e+11 | 1000.0 |
| 81 | 1.342289e+10 | 4.103612e+11 | 8.517850e+09 | 2.839283e+09 | 8.517850e+09 | 0.000000e+00 | 8.179892e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.135713e+10 | 0.000000e+00 | 1.135713e+10 | 1.244873e+12 | 7.872586e+11 | 0.000000e+00 | 2.032131e+12 | 0.000000e+00 | 7.872586e+11 | 1000.0 |
| 82 | 1.399440e+10 | 4.123026e+11 | 9.039714e+09 | 3.013238e+09 | 9.039714e+09 | 0.000000e+00 | 8.201824e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.205295e+10 | 0.000000e+00 | 1.205295e+10 | 1.328945e+12 | 8.270334e+11 | 0.000000e+00 | 2.155978e+12 | 0.000000e+00 | 8.270334e+11 | 1000.0 |
| 83 | 1.455882e+10 | 4.141213e+11 | 9.555152e+09 | 3.185051e+09 | 9.555152e+09 | 0.000000e+00 | 8.223756e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.274020e+10 | 0.000000e+00 | 1.274020e+10 | 1.411707e+12 | 8.665564e+11 | 0.000000e+00 | 2.278263e+12 | 0.000000e+00 | 8.665564e+11 | 1000.0 |
| 84 | 1.514638e+10 | 4.158107e+11 | 1.009267e+10 | 3.364223e+09 | 1.009267e+10 | 0.000000e+00 | 8.245688e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.345689e+10 | 0.000000e+00 | 1.345689e+10 | 1.500548e+12 | 9.050921e+11 | 0.000000e+00 | 2.405640e+12 | 0.000000e+00 | 9.050921e+11 | 1000.0 |
| 85 | 1.570012e+10 | 4.173790e+11 | 1.059890e+10 | 3.532967e+09 | 1.059890e+10 | 0.000000e+00 | 8.267620e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.413187e+10 | 0.000000e+00 | 1.413187e+10 | 1.582718e+12 | 9.428583e+11 | 0.000000e+00 | 2.525576e+12 | 0.000000e+00 | 9.428583e+11 | 1000.0 |
| 86 | 1.629134e+10 | 4.188157e+11 | 1.114095e+10 | 3.713651e+09 | 1.114095e+10 | 0.000000e+00 | 8.289552e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.485460e+10 | 0.000000e+00 | 1.485460e+10 | 1.675170e+12 | 9.785895e+11 | 0.000000e+00 | 2.653759e+12 | 0.000000e+00 | 9.785895e+11 | 1000.0 |
| 87 | 1.684202e+10 | 4.201301e+11 | 1.164571e+10 | 3.881904e+09 | 1.164571e+10 | 0.000000e+00 | 8.311484e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.552761e+10 | 0.000000e+00 | 1.552761e+10 | 1.760725e+12 | 1.012298e+12 | 0.000000e+00 | 2.773023e+12 | 0.000000e+00 | 1.012298e+12 | 1000.0 |
| 88 | 1.735934e+10 | 4.213294e+11 | 1.212008e+10 | 4.040027e+09 | 1.212008e+10 | 0.000000e+00 | 8.333416e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.616011e+10 | 0.000000e+00 | 1.616011e+10 | 1.841170e+12 | 1.043777e+12 | 0.000000e+00 | 2.884946e+12 | 0.000000e+00 | 1.043777e+12 | 1000.0 |
| 89 | 1.791344e+10 | 4.224027e+11 | 1.263011e+10 | 4.210036e+09 | 1.263011e+10 | 0.000000e+00 | 8.355348e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.684015e+10 | 0.000000e+00 | 1.684015e+10 | 1.933686e+12 | 1.071277e+12 | 0.000000e+00 | 3.004963e+12 | 0.000000e+00 | 1.071277e+12 | 1000.0 |
| 90 | 1.838566e+10 | 4.233690e+11 | 1.306449e+10 | 4.354831e+09 | 1.306449e+10 | 0.000000e+00 | 8.377280e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.741933e+10 | 0.000000e+00 | 1.741933e+10 | 2.011891e+12 | 1.095073e+12 | 0.000000e+00 | 3.106964e+12 | 0.000000e+00 | 1.095073e+12 | 1000.0 |
| 91 | 1.886009e+10 | 4.242260e+11 | 1.350234e+10 | 4.500781e+09 | 1.350234e+10 | 0.000000e+00 | 8.399212e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.800312e+10 | 0.000000e+00 | 1.800312e+10 | 2.095728e+12 | 1.113726e+12 | 0.000000e+00 | 3.209455e+12 | 0.000000e+00 | 1.113726e+12 | 1000.0 |
| 92 | 1.931998e+10 | 4.249753e+11 | 1.392796e+10 | 4.642653e+09 | 1.392796e+10 | 0.000000e+00 | 8.421144e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.857061e+10 | 0.000000e+00 | 1.857061e+10 | 2.182906e+12 | 1.125837e+12 | 0.000000e+00 | 3.308743e+12 | 0.000000e+00 | 1.125837e+12 | 1000.0 |
| 93 | 1.967992e+10 | 4.256404e+11 | 1.426115e+10 | 4.753717e+09 | 1.426115e+10 | 0.000000e+00 | 8.443076e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.901487e+10 | 0.000000e+00 | 1.901487e+10 | 2.254562e+12 | 1.131481e+12 | 0.000000e+00 | 3.386043e+12 | 0.000000e+00 | 1.131481e+12 | 1000.0 |
| 94 | 2.001569e+10 | 4.262254e+11 | 1.457299e+10 | 4.857664e+09 | 1.457299e+10 | 0.000000e+00 | 8.465008e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.943066e+10 | 0.000000e+00 | 1.943066e+10 | 2.328789e+12 | 1.129238e+12 | 0.000000e+00 | 3.458027e+12 | 0.000000e+00 | 1.129238e+12 | 1000.0 |
| 95 | 2.031097e+10 | 4.267391e+11 | 1.484795e+10 | 4.949317e+09 | 1.484795e+10 | 0.000000e+00 | 8.486940e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.979727e+10 | 0.000000e+00 | 1.979727e+10 | 2.403271e+12 | 1.117831e+12 | 0.000000e+00 | 3.521102e+12 | 0.000000e+00 | 1.117831e+12 | 1000.0 |
| 96 | 2.051590e+10 | 4.272031e+11 | 1.503889e+10 | 5.012964e+09 | 1.503889e+10 | 0.000000e+00 | 8.508872e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.005186e+10 | 0.000000e+00 | 2.005186e+10 | 2.467405e+12 | 1.096896e+12 | 0.000000e+00 | 3.564301e+12 | 0.000000e+00 | 1.096896e+12 | 1000.0 |
| 97 | 2.059272e+10 | 4.276493e+11 | 1.510992e+10 | 5.036639e+09 | 1.510992e+10 | 0.000000e+00 | 8.530804e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.014655e+10 | 0.000000e+00 | 2.014655e+10 | 2.512347e+12 | 1.066968e+12 | 0.000000e+00 | 3.579315e+12 | 0.000000e+00 | 1.066968e+12 | 1000.0 |
| 98 | 2.067058e+10 | 4.280776e+11 | 1.518175e+10 | 5.060583e+09 | 1.518175e+10 | 0.000000e+00 | 8.552736e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.024233e+10 | 0.000000e+00 | 2.024233e+10 | 2.568241e+12 | 1.026317e+12 | 0.000000e+00 | 3.594559e+12 | 0.000000e+00 | 1.026317e+12 | 1000.0 |
| 99 | 2.056911e+10 | 4.285342e+11 | 1.508435e+10 | 5.028115e+09 | 1.508435e+10 | 0.000000e+00 | 8.574668e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.011246e+10 | 0.000000e+00 | 2.011246e+10 | 2.593449e+12 | 9.769010e+11 | 0.000000e+00 | 3.570350e+12 | 0.000000e+00 | 9.769010e+11 | 1000.0 |
| 100 | 2.058426e+10 | 4.289920e+11 | 1.509484e+10 | 5.031613e+09 | 1.509484e+10 | 0.000000e+00 | 8.596600e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.012645e+10 | 0.000000e+00 | 2.012645e+10 | 2.656356e+12 | 9.154398e+11 | 0.000000e+00 | 3.571796e+12 | 0.000000e+00 | 9.154398e+11 | 1000.0 |
56 rows × 45 columns
fig_installs_cumu fig_vmat_cumu fig_wastes
# Figure of cumulative capacity and mass metrics
fig_mat_cumu, axs = plt.subplots(3,3,figsize=(15,18),
gridspec_kw={'wspace': 0, 'hspace':0.1, 'width_ratios': [1.5,1,1.5]})
#Cumulative Installs-------------------------------------------------
#BAU
axs[0,0].bar(scennames_labels[0:5], cumu_installs.iloc[-1,0:5]/1e6,# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[0,0].set_ylim(0,410)
axs[0,0].set_ylabel('Total Deployed Capacity\n[TW]', fontsize=20)
axs[0,0].set_title('Business as Usual', fontsize=14)
axs[0,0].set_xticklabels([])
axs[0,0].grid(axis='y', color='0.9', ls='--')
axs[0,0].set_axisbelow(True)
#Extreme
axs[0,1].set_ylim(axs[0,0].get_ylim())
axs[0,1].bar(scennames_labels[5:8], cumu_installs.iloc[-1,5:8]/1e6, #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[0,1].set_title('Extreme', fontsize=14)
axs[0,1].set_xticklabels([])
axs[0,1].set_yticklabels([])
axs[0,1].grid(axis='y', color='0.9', ls='--')
axs[0,1].set_axisbelow(True)
#Ambitious
axs[0,2].set_ylim(axs[0,0].get_ylim())
axs[0,2].bar(scennames_labels[8:], cumu_installs.iloc[-1,8:]/1e6, #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
axs[0,2].set_title('Ambitious', fontsize=14)
axs[0,2].set_xticklabels([])
axs[0,2].set_yticklabels([])
axs[0,2].grid(axis='y', color='0.9', ls='--')
axs[0,2].set_axisbelow(True)
#Virgin Material Demand-------------------------------------------
#BAU
axs[1,0].bar(scennames_labels[0:5], cumu_virgin_module_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[1,0].set_ylim(0,12.5)
axs[1,0].set_ylabel('Virgin Material Demand\n[billion metric tonnes]', fontsize=20)
#axs[1,0].set_title('Baseline', fontsize=14)
axs[1,0].set_xticklabels([])
axs[1,0].grid(axis='y', color='0.9', ls='--')
axs[1,0].set_axisbelow(True)
#Extreme
axs[1,1].set_ylim(axs[1,0].get_ylim())
axs[1,1].bar(scennames_labels[5:8], cumu_virgin_module_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[1,1].set_title('Cumulative Virgin Material Demand', fontsize=24)
axs[1,1].set_xticklabels([])
axs[1,1].set_yticklabels([])
axs[1,1].grid(axis='y', color='0.9', ls='--')
axs[1,1].set_axisbelow(True)
#Ambitious
axs[1,2].set_ylim(axs[1,0].get_ylim())
axs[1,2].bar(scennames_labels[8:], cumu_virgin_module_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
#axs[1,2].set_title('Ambitious', fontsize=14)
axs[1,2].set_xticklabels([])
axs[1,2].set_yticklabels([])
axs[1,2].grid(axis='y', color='0.9', ls='--')
axs[1,2].set_axisbelow(True)
#Lifecycle Wastes-------------------------------------------------
#BAU
axs[2,0].bar(scennames_labels[0:5], cumu_lifecycle_wastes_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[2,0].set_ylim(0,9)
axs[2,0].set_ylabel('Lifecycle Wastes\n[billion tonnes]', fontsize=20)
#axs[2,0].set_title('Baseline', fontsize=14)
axs[2,0].set_xticklabels(labels=scennames_labels[0:5], rotation=45)
axs[2,0].grid(axis='y', color='0.9', ls='--')
axs[2,0].set_axisbelow(True)
#Extreme
axs[2,1].set_ylim(axs[2,0].get_ylim())
axs[2,1].bar(scennames_labels[5:8], cumu_lifecycle_wastes_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[2,1].set_title('Cumulative Lifecycle Wastes', fontsize=24)
axs[2,1].set_xticklabels(labels=scennames_labels[5:8], rotation=45)
axs[2,1].set_yticklabels([])
axs[2,1].grid(axis='y', color='0.9', ls='--')
axs[2,1].set_axisbelow(True)
#Ambitious
axs[2,2].set_ylim(axs[2,0].get_ylim())
axs[2,2].bar(scennames_labels[8:], cumu_lifecycle_wastes_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
#axs[2,2].set_title('Ambitious', fontsize=14)
axs[2,2].set_xticklabels(labels=scennames_labels[8:], rotation=45)
axs[2,2].set_yticklabels([])#yaxis.set_visible(False)
axs[2,2].grid(axis='y', color='0.9', ls='--')
axs[2,2].set_axisbelow(True)
#Overall Figure
fig_mat_cumu.suptitle('Cumulative Deployed Capacity', fontsize=24, y=0.92)
fig_mat_cumu.savefig('energyresults-Cumu-CapMass.png', dpi=300, bbox_inches='tight')
fig_mat_cumu.show()
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\4105108743.py:102: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure. fig_mat_cumu.show()
Because of different bifi factors, they do NOT produce the same energy
plt.plot(energyGen/1e12) plt.legend(scennames_labels) plt.title('Annual Energy Generation') plt.ylabel('Energy Generation [TWh]') plt.ylim(0,)
Increasing the steepness of the curve
e_annual_sumDemands = energy_demands.filter(like='demand_total')
plt.plot(e_annual_sumDemands/1e12) plt.legend(scennames_labels_flat) plt.title('Annual Energy Demands') plt.ylabel('Energy Demands\n[TWh]') plt.ylim(0,) plt.xlim(2000,2050)
#ember electricity demand
world_elec_demand = pd.read_csv(os.path.join(altBaselinesfolder, 'ember-world-electricity-demand.csv'), index_col='year')
world_elec_demand_ssps = pd.read_csv(os.path.join(supportMatfolder, 'input-Keiner2023-globalElecDemandSSP15.csv'), index_col='year')
#Haegel energy demand research
#added 4 2050 datapoints to above DF
elec_2050 = pd.DataFrame({2050:[58000],2050:[103400],2050:[105000],2050:[85300],})
elec_2050
| 2050 | |
|---|---|
| 0 | 85300 |
world_elec_demand_ssps.iloc[:,0:2] = world_elec_demand_ssps.iloc[:,0:2].interpolate()
world_elec_demand_ssps.head(5)
| TotalElectricityDemand_SSP1_[PWh] | TotalElectricityDemand_SSP5_[PWh] | Global_Electricity_Demand_Ember | |
|---|---|---|---|
| year | |||
| 2000 | NaN | NaN | 14.97179 |
| 2001 | NaN | NaN | 15.19635 |
| 2002 | NaN | NaN | 15.73318 |
| 2003 | NaN | NaN | 16.29211 |
| 2004 | NaN | NaN | 17.09314 |
#calculate percentage of world electricity demands
elec_mean_2050 = world_elec_demand.loc[2050,'Electricity_demand_twh'].mean()
idx_temp_edmd = pd.Series(range(2023,2051,1))
late_elec_demand = pd.DataFrame(columns=['Electricity_demand_twh'],index=idx_temp_edmd)
late_elec_demand.loc[2050] = elec_mean_2050
elec_demand_goal = pd.DataFrame(pd.concat([world_elec_demand.loc[:2022,'Electricity_demand_twh'],
late_elec_demand.loc[:,'Electricity_demand_twh']]),
dtype=float)
elec_demand = elec_demand_goal.interpolate()
e_annual_sumDemands_PWh = e_annual_sumDemands/1e15
#FIX THIS CALC
prct_elec_demand_2050_ssp1 = e_annual_sumDemands_PWh/world_elec_demand_ssps['TotalElectricityDemand_SSP1_[PWh]']*100
prct_elec_demand_2050_ssp1.loc[2050]
prct_elec_demand_2050_ssp5 = e_annual_sumDemands_PWh/world_elec_demand_ssps['TotalElectricityDemand_SSP5_[PWh]']*100
prct_elec_demand_2050_ssp5.loc[2050]
2000 NaN
2001 NaN
2002 NaN
2003 NaN
2004 NaN
..
h_RecycledPERC_e_demand_total NaN
r_IRENA_e_demand_total NaN
r_PERC_e_demand_total NaN
r_SHJ_e_demand_total NaN
r_TOPCon_e_demand_total NaN
Name: 2050, Length: 114, dtype: float64
e_annual_sumDemands_TWh = e_annual_sumDemands/1e12
prct_elec_demand_2050 = e_annual_sumDemands_TWh.loc[:2050]/elec_demand.values*100
prct_elec_demand_2050.loc[2050]
PV_ICE_e_demand_total 4.562323 r_PERC_e_demand_total 4.271417 r_SHJ_e_demand_total 4.069461 r_TOPCon_e_demand_total 4.155767 r_IRENA_e_demand_total 5.564081 ex_Life_e_demand_total 4.404259 ex_High_eff_e_demand_total 3.964407 ex_Circular_e_demand_total 6.514088 h_EffLife_e_demand_total 3.870223 h_50PERC_e_demand_total 4.441628 h_RecycledPERC_e_demand_total 5.866432 h_Perovskite_life_e_demand_total 6.280710 h_Perovskite_Eff_e_demand_total 4.497918 Name: 2050, dtype: float64
sim1.scenario['r_IRENA'].material['glass'].matdataOut_e
| mat_extraction | mat_MFG_virgin | mat_MFG_virgin_fuel | mat_MFGScrap_LQ | mat_MFGScrap_HQ | mat_MFGScrap_HQ_fuel | mat_Landfill | mat_Landfill_fuel | mat_EoL_ReMFG_clean | mat_Recycled_LQ | mat_Recycled_HQ | mat_Recycled_HQ_fuel | mat_Recycled_HQ_elec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5.347604e+08 | 2.294971e+11 | 1.836114e+11 | 4.001527e+09 | 4.001527e+08 | 2.000763e+08 | 1.929307e+08 | 1.504860e+08 | 0.0 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |
| 1 | 1.894837e+08 | 8.035842e+10 | 6.428545e+10 | 1.417876e+09 | 1.417876e+08 | 7.089380e+07 | 6.836193e+07 | 5.332230e+07 | 0.0 | 4.176129e+01 | 2.505677e+00 | 1.252839e+00 | 1.252839e+00 |
| 2 | 2.278207e+08 | 9.521559e+10 | 7.636298e+10 | 1.704746e+09 | 1.704746e+08 | 8.523728e+07 | 8.219508e+07 | 6.411216e+07 | 0.0 | 1.707163e+03 | 1.024298e+02 | 5.121490e+01 | 5.121490e+01 |
| 3 | 3.453459e+08 | 1.422102e+11 | 1.143511e+11 | 2.584168e+09 | 2.584168e+08 | 1.292084e+08 | 1.246104e+08 | 9.719611e+07 | 0.0 | 1.421993e+04 | 8.531957e+02 | 4.265979e+02 | 4.265979e+02 |
| 4 | 7.000218e+08 | 2.839568e+11 | 2.289496e+11 | 5.238152e+09 | 5.238152e+08 | 2.619076e+08 | 2.526262e+08 | 1.970485e+08 | 0.0 | 6.223970e+04 | 3.734382e+03 | 1.867191e+03 | 1.867191e+03 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 96 | 1.158933e+12 | 3.939689e+14 | 3.419601e+14 | 8.932419e+12 | 6.029383e+12 | 3.014691e+12 | 6.612601e+12 | 5.157829e+12 | 0.0 | 2.025177e+14 | 1.366995e+14 | 6.834973e+13 | 6.834973e+13 |
| 97 | 1.162286e+12 | 3.951085e+14 | 3.429493e+14 | 8.965865e+12 | 6.051959e+12 | 3.025979e+12 | 6.643774e+12 | 5.182144e+12 | 0.0 | 2.034741e+14 | 1.373450e+14 | 6.867252e+13 | 6.867252e+13 |
| 98 | 1.165694e+12 | 3.962673e+14 | 3.439550e+14 | 8.999766e+12 | 6.074842e+12 | 3.037421e+12 | 6.675302e+12 | 5.206736e+12 | 0.0 | 2.044414e+14 | 1.379980e+14 | 6.899899e+13 | 6.899899e+13 |
| 99 | 1.161507e+12 | 3.948438e+14 | 3.427195e+14 | 8.955588e+12 | 6.045022e+12 | 3.022511e+12 | 6.632562e+12 | 5.173399e+12 | 0.0 | 2.031298e+14 | 1.371126e+14 | 6.855631e+13 | 6.855631e+13 |
| 100 | 1.162403e+12 | 3.951486e+14 | 3.429840e+14 | 8.962182e+12 | 6.049473e+12 | 3.024737e+12 | 6.637179e+12 | 5.176999e+12 | 0.0 | 2.032711e+14 | 1.372080e+14 | 6.860400e+13 | 6.860400e+13 |
101 rows × 13 columns
e_annual_sumDemands_TWh = e_annual_sumDemands/1e12
fig, ax1 = plt.subplots()
#world electricity demand
#ax1.plot(world_elec_demand.iloc[0:2022,0], label='Global Electricity Demand', ls='dashdot')
#BAU
ax1.plot(e_annual_sumDemands_TWh.iloc[:,0:5])
#Extreme
ax1.plot(e_annual_sumDemands_TWh.iloc[:,5:8])
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
#Ambitious
ax1.plot(e_annual_sumDemands_TWh.iloc[:,8:], ls='--')
ax1.legend(scennames_labels_flat)
plt.title('Annual Energy Demands')
plt.ylabel('Energy Demands\n[TWh]')
plt.ylim(0,)
plt.xlim(2000,2050)
plt.show()
e_annual_demands_TWh = e_annual_sumDemands/1e12
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
#ax1.plot(world_elec_demand.iloc[:2022,0], label='Global Electricity Demand', ls='dashdot')
#ax1.scatter(x=2050, y=elec_2050.T, label='Global Electricity Demand')
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(prct_elec_demand_2050.iloc[:2050,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Percent of Global Annual\nElectricity Demand [%]', fontsize=20)
ax1.set_xlim(2000,2050)
ax1.set_ylim(0,10)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
#Extreme
#ax2.plot(world_elec_demand.iloc[:,0], label='Global Electricity Demand', ls='dashdot')
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(prct_elec_demand_2050.iloc[:2050,5:8], label=scennames_labels_flat[5:8]) #, color=colorpalette[4:7])
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
#ax3.plot(world_elec_demand.iloc[:,0], label='Global Electricity Demand', ls='dashdot')
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(prct_elec_demand_2050.iloc[:2050,8:], label=scennames_labels_flat[8:], ls='--')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
#overall figure
fig.suptitle('Annual Energy Demand as Percent of\nProjected Global Electricity Demand through 2050', fontsize=24, y=1.1)
plt.show()
fig.savefig('energyresults-annualEnergyDemands2050.png', dpi=300, bbox_inches='tight')
e_annual_sumDemands_cumu = e_annual_sumDemands.cumsum()
plt.bar(e_annual_sumDemands_cumu.columns, e_annual_sumDemands_cumu.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Cumulative Lifecycle Energy Demands') plt.ylabel('Cumulative Energy Demands\n[TWh]') plt.xticks(rotation=90)
cumu_e_demands_twh = e_annual_sumDemands_cumu.loc[2100]/1e12
cumu_e_demands_twh.index = scennames_labels_flat
fig_eDemands, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_e_demands_twh.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,200000)
ax0.set_ylabel('Cumulative Energy Demands [TWh]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_e_demands_twh.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_e_demands_twh.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_eDemands.suptitle('Cumulative Lifecycle Energy Demands', fontsize=24)
plt.show()
fig_eDemands.savefig('energyresults-energyDemands.png', dpi=300, bbox_inches='tight')
#select material demands that are not fuel
e_fuels = energy_demands.filter(like='_fuel')
e_energydemands = energy_demands.loc[:,~energy_demands.columns.isin(e_fuels.columns)]
#sum energy demands by material
e_mfging_bymat = pd.DataFrame()
for scen in sim1.scenario.keys():
e_energy_mfg_scen = e_energydemands.filter(like=scen).filter(like='_MFG_')
e_energy_mod_mfg_scen = energy_demands.filter(like=scen).filter(like='mod_MFG')
e_mfging_bymat = pd.concat([e_mfging_bymat,e_energy_mfg_scen,e_energy_mod_mfg_scen], axis=1)
cum_e_mfging_bymat = e_mfging_bymat.cumsum().loc[2100]
cum_e_mfging_bymat
PV_ICE_glass_mat_MFG_virgin 2.830129e+16
PV_ICE_silicon_mat_MFG_virgin 6.254999e+16
PV_ICE_silver_mat_MFG_virgin 4.701355e+14
PV_ICE_aluminium_frames_mat_MFG_virgin 1.991850e+16
PV_ICE_copper_mat_MFG_virgin 8.627977e+13
...
h_Perovskite_Eff_aluminium_frames_mat_MFG_virgin 1.008780e+16
h_Perovskite_Eff_copper_mat_MFG_virgin 1.691510e+14
h_Perovskite_Eff_encapsulant_mat_MFG_virgin 4.328103e+15
h_Perovskite_Eff_backsheet_mat_MFG_virgin 2.728711e+13
h_Perovskite_Eff_mod_MFG 5.144008e+15
Name: 2100, Length: 104, dtype: float64
#run 2x rn??
#energy demands by material mfging
plt.bar(e_annual_sumDemands_cumu.columns, e_annual_sumDemands_cumu.loc[2100],
tick_label=(scennames_labels), color=colorpalette)
#Materials
cume_mfg_glass = cum_e_mfging_bymat.filter(like='glass')
cume_mfg_silicon = cum_e_mfging_bymat.filter(like='silicon')
cume_mfg_silver = cum_e_mfging_bymat.filter(like='silver')
cume_mfg_aluminium_frames = cum_e_mfging_bymat.filter(like='aluminium_frames')
cume_mfg_copper = cum_e_mfging_bymat.filter(like='copper')
cume_mfg_encapsulant = cum_e_mfging_bymat.filter(like='encapsulant')
cume_mfg_backsheet = cum_e_mfging_bymat.filter(like='backsheet')
cume_mfg_mod = cum_e_mfging_bymat.filter(like='mod')
bot_ag = cume_mfg_glass.values+cume_mfg_silicon.values
bot_al = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values
bot_cu = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values
bot_encap = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values
bot_back = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values+cume_mfg_encapsulant.values
bot_mod = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values+cume_mfg_encapsulant.values+cume_mfg_backsheet.values
plt.bar(scennames_labels, cume_mfg_glass, color = colormats[0], hatch='.')
plt.bar(scennames_labels, cume_mfg_silicon, bottom = cume_mfg_glass, color=colormats[1], hatch='.')
plt.bar(scennames_labels, cume_mfg_silver, bottom = bot_ag, color=colormats[2], hatch='.')
plt.bar(scennames_labels, cume_mfg_aluminium_frames, bottom = bot_al, color=colormats[3], hatch='.')
plt.bar(scennames_labels, cume_mfg_copper, bottom = bot_cu , color=colormats[4], hatch='.')
plt.bar(scennames_labels, cume_mfg_encapsulant, bottom = bot_encap ,color=colormats[5], hatch='.')
plt.bar(scennames_labels, cume_mfg_backsheet, bottom = bot_back, color=colormats[6], hatch='.')
plt.bar(scennames_labels, cume_mfg_mod, bottom = bot_back, color='white', hatch='.')
plt.xticks(rotation=90)
plt.legend(MATERIALS)
<matplotlib.legend.Legend at 0x289787e6090>
energyGen_cumu = energyGen.cumsum()
energyGen_cumu.columns = e_annual_sumDemands_cumu.columns = scennames_labels_flat
netEnergy_cumu = energyGen_cumu.loc[[2100]] - e_annual_sumDemands_cumu.loc[[2100]]
e_annual_sumDemands_cumu.loc[[2100]]
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 1.440969e+17 | 1.310505e+17 | 1.248440e+17 | 1.274785e+17 | 2.119972e+17 | 1.068917e+17 | 1.499011e+17 | 1.577219e+17 | 1.098205e+17 | 1.140960e+17 | 1.656784e+17 | 1.494029e+17 | 1.385677e+17 |
netEnergy_cumu
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 7.043933e+18 | 7.560141e+18 | 7.710108e+18 | 7.635593e+18 | 6.976032e+18 | 7.332719e+18 | 7.699427e+18 | 7.030308e+18 | 7.739508e+18 | 7.325515e+18 | 7.022351e+18 | 7.038627e+18 | 7.049462e+18 |
plt.bar(netEnergy_cumu.columns, netEnergy_cumu.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Net Energy Cumulatively') plt.ylabel('Cumulative Net Energy [TWh]')
plt.xticks(rotation=90)
cumu_netEnergy_twh = netEnergy_cumu.loc[2100]/1e15
fig, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_netEnergy_twh.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,8000)
ax0.set_ylabel('Cumulative Net Energy\n[thousand TWh]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_netEnergy_twh.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_netEnergy_twh.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
#overall fig
fig.suptitle('Net Energy Cumulatively', fontsize=24)
plt.show()
fig.savefig('energyresults-cumuNetEnergy.png', dpi=300, bbox_inches='tight')
netEnergy_relative = netEnergy_cumu - netEnergy_cumu.loc[2100,'PV_ICE'] netEnergy_relative plt.bar(netEnergy_relative.columns, netEnergy_relative.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Cumulatively Net Energy Relative to PV ICE') plt.ylabel('Relative Cumulative Net Energy [TWh]') plt.xticks(rotation=90)
netEnergy_cumu_norm = netEnergy_cumu/netEnergy_cumu.loc[2100,'PV_ICE']
netEnergy_cumu_norm_waterfall = netEnergy_cumu_norm-1
netEnergy_cumu_norm
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 1.0 | 1.073284 | 1.094574 | 1.083996 | 0.99036 | 1.040998 | 1.093058 | 0.998066 | 1.098748 | 1.039975 | 0.996936 | 0.999247 | 1.000785 |
plt.bar(netEnergy_cumu.columns, netEnergy_cumu_norm_waterfall.loc[2100], tick_label=(scennames_labels), color=colorpalette) plt.title('Net Energy Cumulatively Relative to PV ICE') plt.ylabel('Relative Cumulative Net Energy')
plt.plot(0.0, lw=2) plt.xticks(rotation=90)
netEnergy_cumu_norm_waterfall
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 0.0 | 0.073284 | 0.094574 | 0.083996 | -0.00964 | 0.040998 | 0.093058 | -0.001934 | 0.098748 | 0.039975 | -0.003064 | -0.000753 | 0.000785 |
fig_eNetE, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], netEnergy_cumu_norm_waterfall.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
#ax0.set_ylim(0,410)
ax0.set_ylabel('Net Energy Normalized\n[Fraction]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.axhline(0, lw=1, color='black')
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], netEnergy_cumu_norm_waterfall.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.axhline(0, lw=1, color='black')
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], netEnergy_cumu_norm_waterfall.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
ax3.axhline(0, lw=1, color='black')
fig_eNetE.suptitle('Normalized Net Energy', fontsize=24)
plt.show()
fig_eNetE.savefig('energyresults-cumuNetEnergyNorm.png', dpi=300, bbox_inches='tight')
netenergy_final = netEnergy_cumu.loc[2100]/1e12
energyGen.columns = e_annual_sumDemands.columns = scennames_labels_flat
annual_net_energy = energyGen - e_annual_sumDemands
plt.plot(annual_net_energy/1e12) plt.legend(scennames_labels_flat) plt.title('Annual Net Energy') plt.ylabel('Net Energy (Eout - Ein)\n[TWh]') plt.ylim(0,) plt.xlim(2000,2100)
Inspired by EROI, this is all the energy generation divided by all the energy demanded for all systems deployed in energy transition. This is giving us an idea of our energy bang for energy buck
energyBalance_allyears = energyGen_cumu/e_annual_sumDemands_cumu
plt.bar(energyBalance_allyears.columns, energyBalance_allyears.loc[2100], tick_label=(scennames_labels), color=colorpalette) plt.title('Energy Balance') plt.ylabel('Unitless') plt.xticks(rotation=90)
energyBalance = energyBalance_allyears.loc[2100]
fig_eBalance, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], energyBalance.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,75)
ax0.set_ylabel('Energy Balance [Unitless]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], energyBalance.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], energyBalance.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_eBalance.suptitle('Energy Balance', fontsize=24)
plt.show()
fig_eBalance.savefig('energyresults-energyBalance.png', dpi=300, bbox_inches='tight')
fig_eDemands fig_eNetE fig_eBalance
#cumulative energy figure
fig_e_cumu, axs = plt.subplots(3,3,figsize=(15,18),
gridspec_kw={'wspace': 0, 'hspace':0.1, 'width_ratios': [1.5,1,1.5]})
#Energy Demands
#BAU
axs[0,0].bar(scennames_labels[0:5], cumu_e_demands_twh.iloc[0:5]/1e3,# width=0.1,
color=colorpalette[0:5])
axs[0,0].set_ylim(0,200)
axs[0,0].set_ylabel('Cumulative Energy Demands\n[thousand TWh]', fontsize=20)
axs[0,0].set_title('Business As Usual', fontsize=20)
axs[0,0].set_xticklabels([])
#axs[0,0].yaxis.set_minor_locator(MultipleLocator(0.05))
axs[0,0].grid(axis='y', color='0.9', ls='--')
axs[0,0].set_axisbelow(True)
#Extreme
axs[0,1].bar(scennames_labels[5:8], cumu_e_demands_twh.iloc[5:8]/1e3, #width=0.8,
color=colorpalette[5:8])
axs[0,1].set_title('Extreme', fontsize=20)
axs[0,1].set_ylim(axs[0,0].get_ylim())#, visible=False)#sharey(axs[0, 0])
axs[0,1].set_xticklabels([])
axs[0,1].set_yticklabels([])#yaxis.set_visible(False)
axs[0,1].grid(axis='y', color='0.9', ls='--')
axs[0,1].set_axisbelow(True)
#Ambitious
axs[0,2].bar(scennames_labels[8:], cumu_e_demands_twh.iloc[8:]/1e3, #width=0.8,
color=colorpalette[8:], hatch='x', edgecolor='white')
axs[0,2].set_title('Ambitious', fontsize=20)
axs[0,2].set_ylim(axs[0,0].get_ylim())#, visible=False)
axs[0,2].set_xticklabels([])
axs[0,2].set_yticklabels([])#yaxis.set_visible(False)
axs[0,2].grid(axis='y', color='0.9', ls='--')
axs[0,2].set_axisbelow(True)
#Net Energy------------------------------------------------------
#BAU
axs[1,0].bar(scennames_labels[0:5], netEnergy_cumu_norm_waterfall.iloc[-1,0:5],# width=0.1,
color=colorpalette[0:5])
axs[1,0].set_ylim(-0.025,0.1)
axs[1,0].set_ylabel('Net Energy Normalized\n[Fraction]', fontsize=20)
axs[1,0].set_xticklabels([])
axs[1,0].axhline(0, lw=1, color='black')
axs[1,0].grid(axis='y', color='0.9', ls='--')
axs[1,0].set_axisbelow(True)
#Extreme
axs[1,1].bar(scennames_labels[5:8], netEnergy_cumu_norm_waterfall.iloc[-1,5:8], #width=0.8,
color=colorpalette[5:8])
axs[1,1].set_ylim(axs[1,0].get_ylim())
axs[1,1].set_xticklabels([])
axs[1,1].axhline(0, lw=1, color='black')
axs[1,1].set_yticklabels([])#yaxis.set_visible(False)
axs[1,1].grid(axis='y', color='0.9', ls='--')
axs[1,1].set_axisbelow(True)
axs[1,1].set_title('Cumulative Net Energy', fontsize=24)
#Ambitious
axs[1,2].bar(scennames_labels[8:], netEnergy_cumu_norm_waterfall.iloc[-1,8:], #width=0.8,
color=colorpalette[8:], hatch='x', edgecolor='white')
axs[1,2].set_ylim(axs[1,0].get_ylim())
axs[1,2].set_xticklabels([])
axs[1,2].set_yticklabels([])#yaxis.set_visible(False)
axs[1,2].grid(axis='y', color='0.9', ls='--')
axs[1,2].set_axisbelow(True)
#overall fig
axs[1,2].axhline(0, lw=1, color='black')
#Energy Balance------------------------------------------------
#BAU
axs[2,0].bar(scennames_labels[0:5], energyBalance.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[2,0].set_ylim(0,75)
axs[2,0].set_ylabel('Energy Balance\n[Unitless]', fontsize=20)
axs[2,0].set_xticklabels(labels=scennames_labels[0:5], rotation=45)
axs[2,0].grid(axis='y', color='0.9', ls='--')
axs[2,0].set_axisbelow(True)
#Extreme
axs[2,1].bar(scennames_labels[5:8], energyBalance.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[2,1].set_ylim(axs[2,0].get_ylim())
axs[2,1].set_xticklabels(labels=scennames_labels[5:8], rotation=45)
axs[2,1].set_title('Energy Balance', fontsize=24)
axs[2,1].set_yticklabels([])#yaxis.set_visible(False)
axs[2,1].grid(axis='y', color='0.9', ls='--')
axs[2,1].set_axisbelow(True)
#Ambitious
axs[2,2].bar(scennames_labels[8:], energyBalance.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
axs[2,2].set_ylim(axs[2,0].get_ylim())
axs[2,2].set_xticklabels(labels=scennames_labels[8:], rotation=45)
axs[2,2].set_yticklabels([])#yaxis.set_visible(False)
axs[2,2].grid(axis='y', color='0.9', ls='--')
axs[2,2].set_axisbelow(True)
#overall fig
fig_e_cumu.suptitle('Cumulative Energy Demands', fontsize=24, y=0.92)
fig_e_cumu.savefig('energyresults-AllEnergyMetrics.png', dpi=300, bbox_inches='tight')
fig_e_cumu.show()
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_22336\866380601.py:104: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure. fig_e_cumu.show()
discussTable = pd.concat([total_deploy,virgin,wastes, cumu_e_demands_twh,netenergy_final,energyBalance], axis=1,
keys=['replacements','virgin','wastes','energydemand','netenergy','energybalance'])
discussTable.to_csv(os.path.join(testfolder,'discussiontable.csv'))
discussTable
| replacements | virgin | wastes | energydemand | netenergy | energybalance | |
|---|---|---|---|---|---|---|
| PV_ICE | 190.661154 | 10.086320 | 5.139612 | 144096.948146 | 7.043933e+06 | 49.883289 |
| PERC | 187.845809 | 8.231230 | 2.112444 | 131050.540947 | 7.560141e+06 | 58.688744 |
| SHJ | 187.845808 | 7.826973 | 2.009416 | 124844.038485 | 7.710108e+06 | 62.757920 |
| TOPCon | 187.845809 | 7.993722 | 2.051980 | 127478.540049 | 7.635593e+06 | 60.897088 |
| Low Quality | 265.309534 | 11.016047 | 4.185460 | 211997.224101 | 6.976032e+06 | 33.906244 |
| Long-Lived | 144.809344 | 8.724813 | 3.224156 | 106891.733718 | 7.332719e+06 | 69.599495 |
| High Eff | 262.521124 | 12.232932 | 8.088472 | 149901.133556 | 7.699427e+06 | 52.363368 |
| Circular | 401.428223 | 9.292273 | 1.213731 | 157721.945763 | 7.030308e+06 | 45.574061 |
| High Eff + Long-life | 189.441187 | 8.954969 | 4.695228 | 109820.473236 | 7.739508e+06 | 71.474180 |
| Long-Life + Recycling | 152.478197 | 8.809286 | 2.863773 | 114095.990131 | 7.325515e+06 | 65.204839 |
| Recycled-Si + Long-life | 226.993873 | 8.210236 | 1.345835 | 165678.360693 | 7.022351e+06 | 43.385446 |
| Circular + Long-life | 271.977799 | 8.879959 | 1.531751 | 149402.895055 | 7.038627e+06 | 48.111716 |
| Circular + High Eff | 401.428223 | 7.184763 | 1.919526 | 138567.700036 | 7.049462e+06 | 51.873775 |